{ "results": [ { "id": "5800c91dc1711a9165bdd91ae24f60b5", "title": "AI Engineer, Enterprise AI (Principal/Sr. Principal/Distinguished)", "employer_name": "CyberArk", "employer_slug": "cyberark", "location_text": "Office - USA - CA - Headquarters", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---USA---CA---Headquarters/AI-Engineer--Enterprise-AI--Principal-Sr-Principal-Distinguished-_JR-016209", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI Engineer, Enterprise AI (Principal/Sr. Principal/Distinguished) Office - USA - CA - Headquarters posted: Posted 30+ Days Ago", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://benefits.paloaltonetworks.com/api/1.0/download/396", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "k401_match": { "source": "dol_form_5500", "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ] } }, "seniority": "staff_plus", "years_experience_min": 8, "years_experience_max": 12, "role_function": "data", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.0436c65e9ebe52556c", "query_id": "gq_4887eee07b20997765b6", "job_id": "5800c91dc1711a9165bdd91ae24f60b5", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "AI Engineer, Enterprise AI (Principal/Sr. Principal/Distinguished) Office - USA - CA - Headquarters posted: Posted 30+ Days Ago", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:5800c91dc1711a9165bdd91ae24f60b5:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.154a8f14cb40f91ffa", "query_id": "gq_4887eee07b20997765b6", "job_id": "5800c91dc1711a9165bdd91ae24f60b5", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "AI Engineer, Enterprise AI (Principal/Sr. Principal/Distinguished)", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:5800c91dc1711a9165bdd91ae24f60b5:title:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.ec2244dc2a2b218dac", "query_id": "gq_4887eee07b20997765b6", "job_id": "5800c91dc1711a9165bdd91ae24f60b5", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "AI Engineer, Enterprise AI (Principal/Sr. Principal/Distinguished)", "matched_input": "character ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:0505aa0d18e2f9a359afe0eb", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.fe573a0fd7cb35daa9", "query_id": "gq_4887eee07b20997765b6", "job_id": "5800c91dc1711a9165bdd91ae24f60b5", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.daaeeab0b332bee850", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "37d2a043e80db301d2cb14ea799796aa", "title": "Senior AI Engineer (Agentic AI)", "employer_name": "The Procter & Gamble Company", "employer_slug": "the-procter-gamble", "location_text": "WARSAW DOWNTOWN OFFICE", "country": "PL", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-29T00:00:00.000Z", "apply_url": "https://pg.wd5.myworkdayjobs.com/1000/job/WARSAW-DOWNTOWN-OFFICE/Senior-AI-Engineer--Agentic-AI-_R000151205", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior AI Engineer (Agentic AI) WARSAW DOWNTOWN OFFICE posted: Posted 14 Days Ago", "parental_leave_weeks": 8, "non_birth_parent_leave_weeks": 8, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://us.pg.com/policies-and-practices/employee-rights-policy/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 81, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "k401_match": { "source": "dol_form_5500", "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ] }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/80424/000008042425000076/pg-20250630.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/80424/000008042425000076/pg-20250630.htm", "source_fields": [ "equity_offered", "equity_type" ] } }, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "company_stage": null, "company_stage_source": null, "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.7a2434f0e494f144a8", "query_id": "gq_4887eee07b20997765b6", "job_id": "37d2a043e80db301d2cb14ea799796aa", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior AI Engineer (Agentic AI) WARSAW DOWNTOWN OFFICE posted: Posted 14 Days Ago", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:37d2a043e80db301d2cb14ea799796aa:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.1f49c42bcf7f4edfea", "query_id": "gq_4887eee07b20997765b6", "job_id": "37d2a043e80db301d2cb14ea799796aa", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Senior AI Engineer (Agentic AI)", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:37d2a043e80db301d2cb14ea799796aa:title:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.710f437dd96b5b5042", "query_id": "gq_4887eee07b20997765b6", "job_id": "37d2a043e80db301d2cb14ea799796aa", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Senior AI Engineer (Agentic AI)", "matched_input": "character ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:2c8c441e2912ea84d931cb4c", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.a3d8f1b3ab5b2de3ad", "query_id": "gq_4887eee07b20997765b6", "job_id": "37d2a043e80db301d2cb14ea799796aa", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.ad22cf11d0bf18d9e5", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "3800a6f3158df3d469b1130558e11a09", "title": "Senior AI Developer (Generative & Agentic AI (SAP BTP)", "employer_name": "SAP", "employer_slug": "sap", "location_text": "Country Australia | Internal Posting Location Sydney", "country": "AU", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.sap.com/job/North-Sydney-Senior-AI-Developer-%28Generative-&-Agentic-AI-%28SAP-BTP%29-NSW-2060/1367716933/", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior AI Developer (Generative & Agentic AI (SAP BTP) Country Australia | Internal Posting Location Sydney We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. SAP is seeking a highly skilled Senior AI Developer to build and deliver enterprise-grade Generative AI and Agentic AI applications on SAP Business Technology Platform (BTP). As part of the Customer Engagement & Adoption (CE&A) - Global Delivery Hub, you will work closely with solution architects and customer teams to implement scalable, production-ready AI solutions that accelerate AI adoption across SAP landscapes. This role focuses on hands-on solution development and implementation, translating architectural designs and business requirements into robust, high-performing AI applications for enterprise deployment. Key Responsibilities Develop and implement scalable Generative AI and agentic AI applications aligned with defined solution architectures. Translate business and architectural requirements into production-ready AI application components and services. Build and optimize RAG pipelines, retrieval workflows, and hybrid AI solutions for enterprise scenarios. Implement multi-ag", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.9072097edf87fb8c94", "query_id": "gq_4887eee07b20997765b6", "job_id": "3800a6f3158df3d469b1130558e11a09", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior AI Developer (Generative & Agentic AI (SAP BTP) Country Australia | Internal Posting Location Sydney We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. SAP is seeking a highly skilled Senior AI Developer to build and deliver enterprise-grade Generative AI and Agentic AI applications on SAP Business Technology Platform (BTP). As part of the Customer Engagement & Adoption (CE&A) - Global Delivery Hub, you will work closely with solution architects and customer teams to implement scalable, production-ready AI solutions that accelerate AI adoption across SAP landscapes. This role focuses on hands-on solution development and implementation, translating architectural designs and business requirements into robust, high-performing AI applications for enterprise deployment. Key Responsibilities Develop and implement scalable Generative AI and agentic AI applications aligned with defined solution architectures. Translate business and architectural requirements into production-ready AI application components and services. Build and optimize RAG pipelines, retrieval workflows, and hybrid AI solutions for enterprise scenarios. Implement multi-ag", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:3800a6f3158df3d469b1130558e11a09:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.f466618c889fa96faa", "query_id": "gq_4887eee07b20997765b6", "job_id": "3800a6f3158df3d469b1130558e11a09", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Senior AI Developer (Generative & Agentic AI (SAP BTP)", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:3800a6f3158df3d469b1130558e11a09:title:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.99ff7670263ded4d94", "query_id": "gq_4887eee07b20997765b6", "job_id": "3800a6f3158df3d469b1130558e11a09", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Senior AI Developer (Generative & Agentic AI (SAP BTP)", "matched_input": "character ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:f877f6be078e7c6b9927eff4", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.06b8dc7c2ed082180f", "query_id": "gq_4887eee07b20997765b6", "job_id": "3800a6f3158df3d469b1130558e11a09", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.003f81dd3221da7ca8", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "090eb095bb9c3118fdeea161dcb407c4", "title": "Sr Staff AI Software Engineer (CORA AI)", "employer_name": "CyberArk", "employer_slug": "cyberark", "location_text": "Office - Israel - CyberArk Petach Tikva", "country": "IL", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-07T00:00:00.000Z", "apply_url": "https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---Israel---CyberArk-Petach-Tikva/Sr-Staff-AI-Software-Engineer--CORA-AI-_JR-018257", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Sr Staff AI Software Engineer (CORA AI) Office - Israel - CyberArk Petach Tikva posted: Posted 5 Days Ago", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://benefits.paloaltonetworks.com/api/1.0/download/396", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "k401_match": { "source": "dol_form_5500", "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ] } }, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.3f8635cb2aaa40cf35", "query_id": "gq_4887eee07b20997765b6", "job_id": "090eb095bb9c3118fdeea161dcb407c4", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Sr Staff AI Software Engineer (CORA AI) Office - Israel - CyberArk Petach Tikva posted: Posted 5 Days Ago", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:090eb095bb9c3118fdeea161dcb407c4:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.0aff058a25ebccb11d", "query_id": "gq_4887eee07b20997765b6", "job_id": "090eb095bb9c3118fdeea161dcb407c4", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Sr Staff AI Software Engineer (CORA AI)", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:090eb095bb9c3118fdeea161dcb407c4:title:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.06d3bec8903bdf9b90", "query_id": "gq_4887eee07b20997765b6", "job_id": "090eb095bb9c3118fdeea161dcb407c4", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Sr Staff AI Software Engineer (CORA AI)", "matched_input": "character ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:34d2458d09871416512405aa", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.1a3eb09ce8da9a4ef4", "query_id": "gq_4887eee07b20997765b6", "job_id": "090eb095bb9c3118fdeea161dcb407c4", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.5f672f564888ddbfa7", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "2503b2cc8dac582d9324cc9b1e39242b", "title": "Senior AI Engineer (AI Factory)", "employer_name": "The Procter & Gamble Company", "employer_slug": "the-procter-gamble", "location_text": "WARSAW DOWNTOWN OFFICE", "country": "PL", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-29T00:00:00.000Z", "apply_url": "https://pg.wd5.myworkdayjobs.com/1000/job/WARSAW-DOWNTOWN-OFFICE/Senior-AI-Engineer--AI-Factory-_R000151292", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior AI Engineer (AI Factory) WARSAW DOWNTOWN OFFICE posted: Posted 14 Days Ago", "parental_leave_weeks": 8, "non_birth_parent_leave_weeks": 8, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://us.pg.com/policies-and-practices/employee-rights-policy/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 81, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "k401_match": { "source": "dol_form_5500", "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ] }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/80424/000008042425000076/pg-20250630.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/80424/000008042425000076/pg-20250630.htm", "source_fields": [ "equity_offered", "equity_type" ] } }, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "company_stage": null, "company_stage_source": null, "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.9e77063f0aa408ac67", "query_id": "gq_4887eee07b20997765b6", "job_id": "2503b2cc8dac582d9324cc9b1e39242b", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior AI Engineer (AI Factory) WARSAW DOWNTOWN OFFICE posted: Posted 14 Days Ago", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:2503b2cc8dac582d9324cc9b1e39242b:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.1015a326ebf1150e6a", "query_id": "gq_4887eee07b20997765b6", "job_id": "2503b2cc8dac582d9324cc9b1e39242b", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Senior AI Engineer (AI Factory)", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:2503b2cc8dac582d9324cc9b1e39242b:title:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.ccee3619cbe0732bff", "query_id": "gq_4887eee07b20997765b6", "job_id": "2503b2cc8dac582d9324cc9b1e39242b", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Senior AI Engineer (AI Factory)", "matched_input": "character ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:95b7489f3cb059ff2abf06be", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.1fe078972859d7e2fe", "query_id": "gq_4887eee07b20997765b6", "job_id": "2503b2cc8dac582d9324cc9b1e39242b", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.eafa995c5dc5d32f76", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "36bc8812bb2ca3ddbc258c6fef48dfe9", "title": "Principal BMS AI Algorithm Developer (Embedded Edge AI) (f/m/d)", "employer_name": "NXP Semiconductors", "employer_slug": "nxp-semiconductors", "location_text": "Munich", "country": "DE", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-13T00:00:00.000Z", "apply_url": "https://nxp.wd3.myworkdayjobs.com/Careers/job/Munich/Principal-BMS-AI-Algorithm-Developer--Embedded-Edge-AI---f-m-d-_R-10062850", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Principal BMS AI Algorithm Developer (Embedded Edge AI) (f/m/d) Munich posted: Posted 30 Days Ago", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.nxp.com.cn/docs/en/company-information/benefits/PARENTAL-LEAVE-POLICY-2024.pdf", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "k401_match": { "source": "dol_form_5500", "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ] }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1413447/000141344726000008/nxpi-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1413447/000141344726000008/nxpi-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] } }, "seniority": "staff_plus", "years_experience_min": 8, "years_experience_max": 12, "role_function": "engineering", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.ddc52e86a703ec89a1", "query_id": "gq_4887eee07b20997765b6", "job_id": "36bc8812bb2ca3ddbc258c6fef48dfe9", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Principal BMS AI Algorithm Developer (Embedded Edge AI) (f/m/d) Munich posted: Posted 30 Days Ago", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:36bc8812bb2ca3ddbc258c6fef48dfe9:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.24a199ced701baa2f7", "query_id": "gq_4887eee07b20997765b6", "job_id": "36bc8812bb2ca3ddbc258c6fef48dfe9", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Principal BMS AI Algorithm Developer (Embedded Edge AI) (f/m/d)", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:36bc8812bb2ca3ddbc258c6fef48dfe9:title:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.06eb48532a8f1811a0", "query_id": "gq_4887eee07b20997765b6", "job_id": "36bc8812bb2ca3ddbc258c6fef48dfe9", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Principal BMS AI Algorithm Developer (Embedded Edge AI) (f/m/d)", "matched_input": "character ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:39eee036a18ef533c6ff55c9", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.d5f405a39a561a62eb", "query_id": "gq_4887eee07b20997765b6", "job_id": "36bc8812bb2ca3ddbc258c6fef48dfe9", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.6a2521fa520c3e4fa6", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "6cbaec046d2b2c3de3b6dd9a3bcbe3c1", "title": "Senior Software Architect - Agentic AI", "employer_name": "Akamai Technologies", "employer_slug": "akamai-technologies", "location_text": "Israel", "country": "IL", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-03T00:00:00.000Z", "apply_url": "https://fa-extu-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/requisitions/job/3183", "apply_url_verified": false, "ats": "oracle_recruiting_cloud", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Software Architect - Agentic AI Israel We are seeking a Senior Software Architect - Agentic AI to lead the architecture and technical strategy for scalable, secure, and governed agentic AI systems, establishing the frameworks, standards. and reference architectures that enable AI agents to operate safely, reliably, and effectively within complex enterprise environments.", "parental_leave_weeks": 18, "non_birth_parent_leave_weeks": 10, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.akamai.com/site/en/documents/corporate/2024/additional-ide-metrics.pdf", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 85, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "k401_match": { "source": "dol_form_5500", "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ] }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1086222/000108622226000022/akam-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1086222/000108622226000022/akam-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] } }, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.8f4a1434b196d69309", "query_id": "gq_4887eee07b20997765b6", "job_id": "6cbaec046d2b2c3de3b6dd9a3bcbe3c1", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Software Architect - Agentic AI Israel We are seeking a Senior Software Architect - Agentic AI to lead the architecture and technical strategy for scalable, secure, and governed agentic AI systems, establishing the frameworks, standards. and reference architectures that enable AI agents to operate safely, reliably, and effectively within complex enterprise environments.", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:6cbaec046d2b2c3de3b6dd9a3bcbe3c1:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.621cb4d3b7fc6aa6a7", "query_id": "gq_4887eee07b20997765b6", "job_id": "6cbaec046d2b2c3de3b6dd9a3bcbe3c1", "signal_type": "query_match", "display_text": "Employer: \"ai\"", "tooltip": "Employer matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Akamai Technologies", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:6cbaec046d2b2c3de3b6dd9a3bcbe3c1:employer:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.0903f98b459e7af3e6", "query_id": "gq_4887eee07b20997765b6", "job_id": "6cbaec046d2b2c3de3b6dd9a3bcbe3c1", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Senior Software Architect - Agentic AI", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:6cbaec046d2b2c3de3b6dd9a3bcbe3c1:title:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.5e0d3d9b436b9db866", "query_id": "gq_4887eee07b20997765b6", "job_id": "6cbaec046d2b2c3de3b6dd9a3bcbe3c1", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Senior Software Architect - Agentic AI", "matched_input": "character ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:4663e1ed3e45c94bae72835c", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.78379330da2247b1f4", "query_id": "gq_4887eee07b20997765b6", "job_id": "6cbaec046d2b2c3de3b6dd9a3bcbe3c1", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.f12cbab39cfa5fc37c", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "a6a78e6ac3253eb331a01e3ae545018f", "title": "AI Principal Product Manager-Technical, Alexa Responsible AI", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Bellevue, Washington, USA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 179900, "salary_max": 243400, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 179900, "base_salary_max": 243400, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": true, "childcare_subsidy": true, "fertility_family_building_benefits": true, "adoption_assistance_offered": true, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-02-25T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/3189771/ai-principal-product-manager-technical-alexa-responsible-ai", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI Principal Product Manager-Technical, Alexa Responsible AI Bellevue, Washington, USA Define What Trustworthy AI Looks Like at Amazon's Scale Alexa+ is Amazon's next-generation, generative AI-powered assistant - and trust is its most important feature. As the AI Principal PMT for Alexa Responsible AI, you won't just manage a product roadmap - You will define the standard for how one of the world's most widely used AI systems earns and keeps customer trust across every language, culture, device, and interaction. This is a role for a product leader who thinks systematically, moves fast, and has the conviction to make hard calls when the stakes are real. The Mission Responsible AI isn't a compliance checkbox. It's a product discipline and you will own it. You'll define the customer experience for safety guardrails, trust signals, and evaluation frameworks that determine whether Alexa is earning or eroding customer confidence. You'll make the go/no-go calls on features that affect millions of daily interactions - with the data, the customer story, and the scientific grounding to back every decision. What You'll Own Product Vision & Strategy In today's AI landscape, strategy is written in weeks, not years. You'll set a bold, adaptive product vision for Responsible AI - defining near-term priorities with urgency while keeping a clear eye on where the technology and the customer need are heading. You'll author crisp vision documents that align science, engineering, policy, and legal teams around a shared north star for customer trust. You'll establish the KPIs that measure trust", "parental_leave_weeks": 20, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 56, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ] }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "childcare_subsidy": { "field": "childcare_subsidy", "source": "llm:greenfield:inv_371_postfix", "db_column": "childcare_subsidy" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "parental_leave_weeks" }, "mental_health_support": { "field": "mental_health_support", "source": "llm:greenfield:inv_371_postfix", "db_column": "mental_health_support" }, "adoption_assistance_offered": { "field": "adoption_assistance_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "adoption_assistance_offered" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "non_birth_parent_leave_weeks" }, "fertility_family_building_benefits": { "field": "fertility_family_building_benefits", "source": "llm:greenfield:inv_371_postfix", "db_column": "fertility_family_building_benefits" } }, "seniority": "principal", "years_experience_min": 8, "years_experience_max": 12, "role_function": "product", "company_stage": null, "company_stage_source": null, "employer_industry": "Industrial", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.315b14a596076839bc", "query_id": "gq_4887eee07b20997765b6", "job_id": "a6a78e6ac3253eb331a01e3ae545018f", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "AI Principal Product Manager-Technical, Alexa Responsible AI Bellevue, Washington, USA Define What Trustworthy AI Looks Like at Amazon's Scale Alexa+ is Amazon's next-generation, generative AI-powered assistant - and trust is its most important feature. As the AI Principal PMT for Alexa Responsible AI, you won't just manage a product roadmap - You will define the standard for how one of the world's most widely used AI systems earns and keeps customer trust across every language, culture, device, and interaction. This is a role for a product leader who thinks systematically, moves fast, and has the conviction to make hard calls when the stakes are real. The Mission Responsible AI isn't a compliance checkbox. It's a product discipline and you will own it. You'll define the customer experience for safety guardrails, trust signals, and evaluation frameworks that determine whether Alexa is earning or eroding customer confidence. You'll make the go/no-go calls on features that affect millions of daily interactions - with the data, the customer story, and the scientific grounding to back every decision. What You'll Own Product Vision & Strategy In today's AI landscape, strategy is written in weeks, not years. You'll set a bold, adaptive product vision for Responsible AI - defining near-term priorities with urgency while keeping a clear eye on where the technology and the customer need are heading. You'll author crisp vision documents that align science, engineering, policy, and legal teams around a shared north star for customer trust. You'll establish the KPIs that measure trust", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:a6a78e6ac3253eb331a01e3ae545018f:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.4e3718352e56116d46", "query_id": "gq_4887eee07b20997765b6", "job_id": "a6a78e6ac3253eb331a01e3ae545018f", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "AI Principal Product Manager-Technical, Alexa Responsible AI", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:a6a78e6ac3253eb331a01e3ae545018f:title:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.282e5b7576c4c664aa", "query_id": "gq_4887eee07b20997765b6", "job_id": "a6a78e6ac3253eb331a01e3ae545018f", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "AI Principal Product Manager-Technical, Alexa Responsible AI", "matched_input": "character ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:2e4f16674c5c9344a2246256", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.b9b521ece2c53f8dba", "query_id": "gq_4887eee07b20997765b6", "job_id": "a6a78e6ac3253eb331a01e3ae545018f", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.f2703fcf5cfe5c49a4", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "0564f63011bb16b727bf9893ddc7d3fd", "title": "Lead AI Developer (f/m/d)", "employer_name": "SAP", "employer_slug": "sap", "location_text": "Region Europe | Country Germany | Internal Posting Location Garching", "country": "DE", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.sap.com/job/Garching-bei-M%C3%BCnchen-Lead-AI-Developer-%28fmd%29-85748/1371474133/", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Lead AI Developer (f/m/d) Region Europe | Country Germany | Internal Posting Location Garching We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you`ll do Summary: We are looking for a top-notch experienced Lead AI Developer to support our agile AI development team in designing, building and deploying enterprise-grade Agentic AI and ML solutions for SAP's internal business organizations. The Role: Work with a global, agile team of data scientists, AI/ML engineers and software engineers on Agentic AI and ML solutions as well as on the E2E lifecycle Lead the development process of cutting edge data science and AI solutions including the development, maintenance and optimization of Agentic AI architectures and solutions across business domains Design, develop and deploy AI services and solutions from proof of concept to full enterprise production Execute enterprise-grade LLMOps and MLOps: continuous integration, continuous delivery, and continuous training for our AI models and Agentic workflows Drive architectural decisions for enterprise grade AI solutions Ensure reliability, observability and compliance of deployed AI", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.f5167c4204004c5c48", "query_id": "gq_4887eee07b20997765b6", "job_id": "0564f63011bb16b727bf9893ddc7d3fd", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Lead AI Developer (f/m/d) Region Europe | Country Germany | Internal Posting Location Garching We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you`ll do Summary: We are looking for a top-notch experienced Lead AI Developer to support our agile AI development team in designing, building and deploying enterprise-grade Agentic AI and ML solutions for SAP's internal business organizations. The Role: Work with a global, agile team of data scientists, AI/ML engineers and software engineers on Agentic AI and ML solutions as well as on the E2E lifecycle Lead the development process of cutting edge data science and AI solutions including the development, maintenance and optimization of Agentic AI architectures and solutions across business domains Design, develop and deploy AI services and solutions from proof of concept to full enterprise production Execute enterprise-grade LLMOps and MLOps: continuous integration, continuous delivery, and continuous training for our AI models and Agentic workflows Drive architectural decisions for enterprise grade AI solutions Ensure reliability, observability and compliance of deployed AI", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:0564f63011bb16b727bf9893ddc7d3fd:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.63eb74291c238d9417", "query_id": "gq_4887eee07b20997765b6", "job_id": "0564f63011bb16b727bf9893ddc7d3fd", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Lead AI Developer (f/m/d)", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:0564f63011bb16b727bf9893ddc7d3fd:title:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.b6759d24380fb7ff92", "query_id": "gq_4887eee07b20997765b6", "job_id": "0564f63011bb16b727bf9893ddc7d3fd", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Lead AI Developer (f/m/d)", "matched_input": "character ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:d47512fdbb9ce4a08702cc11", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.a740d379fd83a17057", "query_id": "gq_4887eee07b20997765b6", "job_id": "0564f63011bb16b727bf9893ddc7d3fd", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.b6027cd7ca85f326c9", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "eeb7cf4c5b07ed56c2ba0bf5f8b08b9d", "title": "AI Security Engineer", "employer_name": "Bunge", "employer_slug": "bunge", "location_text": "Warszawa", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.bunge.com/job/Warszawa-AI-Security-Engineer-Maso-02-146/1396127333/", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI Security Engineer Warszawa Requisition Number: 45722 Overview: The person in this role demonstrates a high level of professionalism, prioritizing the management and successful delivery of moderately complex AI security projects. This role will actively contribute to defining and implementing the necessary guardrails for AI usage across Bunge, and ensure our IT platforms are robust and ready for the future AI environment. Responsibilities include providing leadership to AI security professionals, contributing to resource and policy development, and addressing complex security challenges within Bunge's AI environment. Main Accountabilities: Lead and manage significant operational plans and large-scale AI security projects and initiatives with substantial independence, contributing to their successful execution and strategic alignment, including playing a key role in developing and enforcing AI usage guardrails. Provide leadership and guidance to a team of AI security professionals and support staff, supporting their growth and ensuring their effective contribution to securing AI systems. Hold accountability for the successful results of large and/or moderately complex AI security projects, ensuring objectives are met within established parameters, and actively contributing to the readiness of Bunge's IT platforms for future AI integration. Contribute valuable input on resource planning and the development of security policies specifically tailored for AI/ML systems, ensuring these policies incorporate th", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://jobs.bunge.com/job/Chesterfield-Senior-Manager-Compensation-MO-63017/1266724501/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Industrial", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.51b0f62bc5b22dc79e", "query_id": "gq_4887eee07b20997765b6", "job_id": "eeb7cf4c5b07ed56c2ba0bf5f8b08b9d", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "AI Security Engineer Warszawa Requisition Number: 45722 Overview: The person in this role demonstrates a high level of professionalism, prioritizing the management and successful delivery of moderately complex AI security projects. This role will actively contribute to defining and implementing the necessary guardrails for AI usage across Bunge, and ensure our IT platforms are robust and ready for the future AI environment. Responsibilities include providing leadership to AI security professionals, contributing to resource and policy development, and addressing complex security challenges within Bunge's AI environment. Main Accountabilities: Lead and manage significant operational plans and large-scale AI security projects and initiatives with substantial independence, contributing to their successful execution and strategic alignment, including playing a key role in developing and enforcing AI usage guardrails. Provide leadership and guidance to a team of AI security professionals and support staff, supporting their growth and ensuring their effective contribution to securing AI systems. Hold accountability for the successful results of large and/or moderately complex AI security projects, ensuring objectives are met within established parameters, and actively contributing to the readiness of Bunge's IT platforms for future AI integration. Contribute valuable input on resource planning and the development of security policies specifically tailored for AI/ML systems, ensuring these policies incorporate th", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:eeb7cf4c5b07ed56c2ba0bf5f8b08b9d:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.cd36f9b145caa72892", "query_id": "gq_4887eee07b20997765b6", "job_id": "eeb7cf4c5b07ed56c2ba0bf5f8b08b9d", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "AI Security Engineer", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:eeb7cf4c5b07ed56c2ba0bf5f8b08b9d:title:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.d2f007276881e673fd", "query_id": "gq_4887eee07b20997765b6", "job_id": "eeb7cf4c5b07ed56c2ba0bf5f8b08b9d", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "AI Security Engineer", "matched_input": "character ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:27a3a3538b2ad1eb3f2a1ec3", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.0fa7d495df7c251ad1", "query_id": "gq_4887eee07b20997765b6", "job_id": "eeb7cf4c5b07ed56c2ba0bf5f8b08b9d", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.b35c57334e6ef40746", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "9e2cbb433d0a6846c0384f8cf1ff890b", "title": "Principal AI Engineer - Enterprise AI Solutions", "employer_name": "CyberArk", "employer_slug": "cyberark", "location_text": "Office - USA - CA - Headquarters", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---USA---CA---Headquarters/Principal-AI-Engineer---Enterprise-AI-Solutions_JR-016838", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Principal AI Engineer - Enterprise AI Solutions Office - USA - CA - Headquarters posted: Posted 30+ Days Ago", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://benefits.paloaltonetworks.com/api/1.0/download/396", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "k401_match": { "source": "dol_form_5500", "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ] } }, "seniority": "staff_plus", "years_experience_min": 8, "years_experience_max": 12, "role_function": "data", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.9db8b485fa6c986b1a", "query_id": "gq_4887eee07b20997765b6", "job_id": "9e2cbb433d0a6846c0384f8cf1ff890b", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Principal AI Engineer - Enterprise AI Solutions Office - USA - CA - Headquarters posted: Posted 30+ Days Ago", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:9e2cbb433d0a6846c0384f8cf1ff890b:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.90653962f7dc8c275f", "query_id": "gq_4887eee07b20997765b6", "job_id": "9e2cbb433d0a6846c0384f8cf1ff890b", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Principal AI Engineer - Enterprise AI Solutions", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:9e2cbb433d0a6846c0384f8cf1ff890b:title:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.48484ddb34f8030c69", "query_id": "gq_4887eee07b20997765b6", "job_id": "9e2cbb433d0a6846c0384f8cf1ff890b", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Principal AI Engineer - Enterprise AI Solutions", "matched_input": "character ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:2a07d7be928349eb0ca56309", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.dffba0d4a57ed9c58b", "query_id": "gq_4887eee07b20997765b6", "job_id": "9e2cbb433d0a6846c0384f8cf1ff890b", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.953866125b7a02c3c9", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "ffba60751f35552ea6cffaef71b74c43", "title": "Business AI Architect - GDH Japan", "employer_name": "SAP", "employer_slug": "sap", "location_text": "Business AI Architect - GDH Japan | Country Japan | Internal Posting Location Tokyo", "country": "JP", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.sap.com/job/Tokyo-Business-AI-Architect-GDH-Japan-Toky-100-0004/1385285733/", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Business AI Architect - GDH Japan Business AI Architect - GDH Japan | Country Japan | Internal Posting Location Tokyo We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Job Summary: We are seeking an experienced SAP AI Business Architect to lead the design, development, and implementation of AI-driven solutions within our SAP ecosystem. The ideal candidate will possess deep expertise in SAP technologies, AI frameworks, and SAP Business Technology Platform (BTP), ensuring seamless integration and optimization of AI capabilities to drive business innovation and efficiency. Our customers are focused on realising business outcomes, leveraging solutions and technologies, especially AI. As an SAP AI Engineering Architect, the role requires a strong understanding of working with end-to-end business process design and realization across SAP Business Suite solutions, and the ability to translate industry-specific business outcomes and process requirements into effective AI-led technical architectures and solutions. Key Responsibilities: Architect and implement AI solutions within SAP systems to enhance business processes and decision-making. Design and deplo", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": {}, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.4df95db06aebb04b86", "query_id": "gq_4887eee07b20997765b6", "job_id": "ffba60751f35552ea6cffaef71b74c43", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Business AI Architect - GDH Japan Business AI Architect - GDH Japan | Country Japan | Internal Posting Location Tokyo We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Job Summary: We are seeking an experienced SAP AI Business Architect to lead the design, development, and implementation of AI-driven solutions within our SAP ecosystem. The ideal candidate will possess deep expertise in SAP technologies, AI frameworks, and SAP Business Technology Platform (BTP), ensuring seamless integration and optimization of AI capabilities to drive business innovation and efficiency. Our customers are focused on realising business outcomes, leveraging solutions and technologies, especially AI. As an SAP AI Engineering Architect, the role requires a strong understanding of working with end-to-end business process design and realization across SAP Business Suite solutions, and the ability to translate industry-specific business outcomes and process requirements into effective AI-led technical architectures and solutions. Key Responsibilities: Architect and implement AI solutions within SAP systems to enhance business processes and decision-making. Design and deplo", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:ffba60751f35552ea6cffaef71b74c43:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.location_text.07e9bc392726f212b1", "query_id": "gq_4887eee07b20997765b6", "job_id": "ffba60751f35552ea6cffaef71b74c43", "signal_type": "query_match", "display_text": "Location: \"ai\"", "tooltip": "Location matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "location_text", "source_value": "Business AI Architect - GDH Japan | Country Japan | Internal Posting Location Tokyo", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:ffba60751f35552ea6cffaef71b74c43:location:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.89d3d52d20c1a25ead", "query_id": "gq_4887eee07b20997765b6", "job_id": "ffba60751f35552ea6cffaef71b74c43", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Business AI Architect - GDH Japan", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:ffba60751f35552ea6cffaef71b74c43:title:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.b264ba62cc2570c421", "query_id": "gq_4887eee07b20997765b6", "job_id": "ffba60751f35552ea6cffaef71b74c43", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Business AI Architect - GDH Japan", "matched_input": "character ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:bb7b75cae7158afbbf54c05b", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.53065f19eb333f96e5", "query_id": "gq_4887eee07b20997765b6", "job_id": "ffba60751f35552ea6cffaef71b74c43", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.a67e6833eb69d00cc9", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "6107a01612649cd4d0bd7880db5a0823", "title": "Senior BTP AI Expert Consultant (f/m/d)", "employer_name": "SAP", "employer_slug": "sap", "location_text": "Region Europe | Country Germany | Internal Posting Location Walldorf", "country": "DE", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.sap.com/job/Walldorf-Senior-BTP-AI-Expert-Consultant-%28fmd%29-69190/1365850933/", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior BTP AI Expert Consultant (f/m/d) Region Europe | Country Germany | Internal Posting Location Walldorf We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. YOUR FUTURE ROLE We are seeking an experienced AI Senior Consultant / Expert (f/m/d) to design, develop, and deploy enterprise-grade Generative AI and Agentic AI solutions within our SAP technology landscape. You will work closely with AI Product Owners, data scientists, and architects to translate AI concepts into reliable, production-ready systems that drive business value across our organization. What you'll do: Stay current with latest AI trends, tools, and frameworks and SAP technology strategy Advise our customers how SAP Business AI will support their processes and organization Support customers on implementation of scalable Generative AI and Agentic AI applications aligned with SAP reference architectures Collaborate with Product Owners to translate functional requirements into robust technical specifications Guide and mentor junior colleagues to foster AI engineering excellence across teams Work independently, set priorities, and resolve complex cross-functional challenges C", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.649e268f4a4fd146d6", "query_id": "gq_4887eee07b20997765b6", "job_id": "6107a01612649cd4d0bd7880db5a0823", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior BTP AI Expert Consultant (f/m/d) Region Europe | Country Germany | Internal Posting Location Walldorf We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. YOUR FUTURE ROLE We are seeking an experienced AI Senior Consultant / Expert (f/m/d) to design, develop, and deploy enterprise-grade Generative AI and Agentic AI solutions within our SAP technology landscape. You will work closely with AI Product Owners, data scientists, and architects to translate AI concepts into reliable, production-ready systems that drive business value across our organization. What you'll do: Stay current with latest AI trends, tools, and frameworks and SAP technology strategy Advise our customers how SAP Business AI will support their processes and organization Support customers on implementation of scalable Generative AI and Agentic AI applications aligned with SAP reference architectures Collaborate with Product Owners to translate functional requirements into robust technical specifications Guide and mentor junior colleagues to foster AI engineering excellence across teams Work independently, set priorities, and resolve complex cross-functional challenges C", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:6107a01612649cd4d0bd7880db5a0823:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.13691a0e2052684420", "query_id": "gq_4887eee07b20997765b6", "job_id": "6107a01612649cd4d0bd7880db5a0823", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Senior BTP AI Expert Consultant (f/m/d)", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:6107a01612649cd4d0bd7880db5a0823:title:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.b686a820ba7da408a4", "query_id": "gq_4887eee07b20997765b6", "job_id": "6107a01612649cd4d0bd7880db5a0823", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Senior BTP AI Expert Consultant (f/m/d)", "matched_input": "character ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:98da2cc80993ebd8ac84b9e4", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.46aabf7fa3b8eb6328", "query_id": "gq_4887eee07b20997765b6", "job_id": "6107a01612649cd4d0bd7880db5a0823", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.c0c3fbb621688724b5", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "a9d1718d95f04189b068f486749ea42e", "title": "Staff/Sr. Staff AI Engineer - Enterprise AI Solutions", "employer_name": "CyberArk", "employer_slug": "cyberark", "location_text": "Office - USA - CA - Headquarters", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---USA---CA---Headquarters/Staff-Sr-Staff-AI-Engineer_JR-016837", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Staff/Sr. Staff AI Engineer - Enterprise AI Solutions Office - USA - CA - Headquarters posted: Posted 30+ Days Ago", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://benefits.paloaltonetworks.com/api/1.0/download/396", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "k401_match": { "source": "dol_form_5500", "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ] } }, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.a24a79d705c7182254", "query_id": "gq_4887eee07b20997765b6", "job_id": "a9d1718d95f04189b068f486749ea42e", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Staff/Sr. Staff AI Engineer - Enterprise AI Solutions Office - USA - CA - Headquarters posted: Posted 30+ Days Ago", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:a9d1718d95f04189b068f486749ea42e:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.e8a2a4f6f674487478", "query_id": "gq_4887eee07b20997765b6", "job_id": "a9d1718d95f04189b068f486749ea42e", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Staff/Sr. Staff AI Engineer - Enterprise AI Solutions", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:a9d1718d95f04189b068f486749ea42e:title:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.b2543693537795991d", "query_id": "gq_4887eee07b20997765b6", "job_id": "a9d1718d95f04189b068f486749ea42e", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Staff/Sr. Staff AI Engineer - Enterprise AI Solutions", "matched_input": "character ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:978a08556e540a63345c8598", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.fefcce3fbe05543dd4", "query_id": "gq_4887eee07b20997765b6", "job_id": "a9d1718d95f04189b068f486749ea42e", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.19b370cb8a4c5a0e5d", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "e1fc4d21c0794db4c80d7a09f0623afa", "title": "AI Platform Reliability Engineer", "employer_name": "Oracle", "employer_slug": "oracle", "location_text": "United States, US", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 79200, "salary_max": 209500, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 79200, "base_salary_max": 209500, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": true, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": true, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-04T00:00:00.000Z", "apply_url": "https://careers.oracle.com/en/sites/jobsearch/job/335707/", "apply_url_verified": false, "ats": "oracle_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI Platform Reliability Engineer United States, US Oracle Health is seeking an AI Platform Reliability Engineer to ensure our AI agent platform and AI-enabled analytics workflows are reliable, observable, measurable, and safe in production. This role will focus on the operational foundation for production AI systems, including monitoring, tracing, evaluation in production, rollback controls, alerting, versioning, runtime diagnostics, and quality safeguards. The engineer will also support data reliability use cases such as detection of stopped processing, data gaps, freshness issues, schema drift, and anomaly conditions that affect downstream analytics and reporting. The ideal candidate brings strong engineering discipline in observability, release safety, and operational tooling, with the ability to apply those skills to modern AI and agent-based systems. This role is critical to maintaining trust in AI outputs and ensuring new capabilities can scale safely across Oracle Health. Build and maintain observability, logging, tracing, and monitoring for AI agents, agent tools, and AI-enabled analytics workflows. Implement release, rollout, rollback, and versioning controls for prompts, models, tools, and configurations. Design and support production evaluation practices to detect regressions, silent failures, quality drift, and performance issues. Contribute to data monitoring and reliability workflows, including detection of stopped processing, data gaps, freshness issues, schema drift, and anomalies. Support incident response, triage, root-cause analysis, and operational reporting for AI and data reliability issues. Partner with architects and AI engineers to ensure systems are production-ready, measurable, and maintainable. Implement latency, throughput, and cost monitoring controls for AI-enabled systems. Help enforce operational safeguards, auditability, and controlled", "parental_leave_weeks": 0, "non_birth_parent_leave_weeks": 14, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.oracle.com/careers/culture/benefits/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 94, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "k401_match": { "source": "dol_form_5500", "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ] }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1341439/000095017025087926/orcl-20250531.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "bonus_offered": { "field": "bonus_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "bonus_offered" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1341439/000095017025087926/orcl-20250531.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "parental_leave_weeks" }, "adoption_assistance_offered": { "field": "adoption_assistance_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "adoption_assistance_offered" } }, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.bc2bd03c14cbdc5f54", "query_id": "gq_4887eee07b20997765b6", "job_id": "e1fc4d21c0794db4c80d7a09f0623afa", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "AI Platform Reliability Engineer United States, US Oracle Health is seeking an AI Platform Reliability Engineer to ensure our AI agent platform and AI-enabled analytics workflows are reliable, observable, measurable, and safe in production. This role will focus on the operational foundation for production AI systems, including monitoring, tracing, evaluation in production, rollback controls, alerting, versioning, runtime diagnostics, and quality safeguards. The engineer will also support data reliability use cases such as detection of stopped processing, data gaps, freshness issues, schema drift, and anomaly conditions that affect downstream analytics and reporting. The ideal candidate brings strong engineering discipline in observability, release safety, and operational tooling, with the ability to apply those skills to modern AI and agent-based systems. This role is critical to maintaining trust in AI outputs and ensuring new capabilities can scale safely across Oracle Health. Build and maintain observability, logging, tracing, and monitoring for AI agents, agent tools, and AI-enabled analytics workflows. Implement release, rollout, rollback, and versioning controls for prompts, models, tools, and configurations. Design and support production evaluation practices to detect regressions, silent failures, quality drift, and performance issues. Contribute to data monitoring and reliability workflows, including detection of stopped processing, data gaps, freshness issues, schema drift, and anomalies. Support incident response, triage, root-cause analysis, and operational reporting for AI and data reliability issues. Partner with architects and AI engineers to ensure systems are production-ready, measurable, and maintainable. Implement latency, throughput, and cost monitoring controls for AI-enabled systems. Help enforce operational safeguards, auditability, and controlled", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:e1fc4d21c0794db4c80d7a09f0623afa:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.13c340ec0486d04556", "query_id": "gq_4887eee07b20997765b6", "job_id": "e1fc4d21c0794db4c80d7a09f0623afa", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "AI Platform Reliability Engineer", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:e1fc4d21c0794db4c80d7a09f0623afa:title:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.3c0141447b383b018d", "query_id": "gq_4887eee07b20997765b6", "job_id": "e1fc4d21c0794db4c80d7a09f0623afa", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "AI Platform Reliability Engineer", "matched_input": "character ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:830ed66d998bdd4989f5c391", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.02666e06b85aec084a", "query_id": "gq_4887eee07b20997765b6", "job_id": "e1fc4d21c0794db4c80d7a09f0623afa", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.665a7e7da524231f76", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "8411e98a938ddf12987ee8b5d3a05576", "title": "AI Engineer", "employer_name": "SAP", "employer_slug": "sap", "location_text": "Region Europe | Country Bulgaria | Internal Posting Location Sofia", "country": "BG", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.sap.com/job/Sofia-AI-Engineer-1407/1270845501/", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI Engineer Region Europe | Country Bulgaria | Internal Posting Location Sofia We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What You'll Build: As an AI Engineer, you will contribute to building and deploying AI solutions that support various Lines of Business (LOBs) within the company. You will work closely with other engineers to develop AI services, assist in moving projects from proof of concept to production, and collaborate with cross-functional teams to enhance our AI-first tech stack. This role offers opportunities to learn and grow in a dynamic environment while working on diverse challenges. Key Responsibilities: Assist in developing AI services and help transition projects from PoC to production Support the setup and maintenance of Big Data pipelines for AI services Contribute to designing solutions for GenAI/Agentic AI use cases Collaborate with stakeholders to understand requirements and implement AI-driven solutions Productionize AI PoCs with good software engineering by incorporating CI/CD pipelines, deployment and MLOps/LLMOps Monitor and maintain AI services in development and production e", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.718192793c64bf695d", "query_id": "gq_4887eee07b20997765b6", "job_id": "8411e98a938ddf12987ee8b5d3a05576", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "AI Engineer Region Europe | Country Bulgaria | Internal Posting Location Sofia We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What You'll Build: As an AI Engineer, you will contribute to building and deploying AI solutions that support various Lines of Business (LOBs) within the company. You will work closely with other engineers to develop AI services, assist in moving projects from proof of concept to production, and collaborate with cross-functional teams to enhance our AI-first tech stack. This role offers opportunities to learn and grow in a dynamic environment while working on diverse challenges. Key Responsibilities: Assist in developing AI services and help transition projects from PoC to production Support the setup and maintenance of Big Data pipelines for AI services Contribute to designing solutions for GenAI/Agentic AI use cases Collaborate with stakeholders to understand requirements and implement AI-driven solutions Productionize AI PoCs with good software engineering by incorporating CI/CD pipelines, deployment and MLOps/LLMOps Monitor and maintain AI services in development and production e", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:8411e98a938ddf12987ee8b5d3a05576:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.c26830243dac8833a2", "query_id": "gq_4887eee07b20997765b6", "job_id": "8411e98a938ddf12987ee8b5d3a05576", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "AI Engineer", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:8411e98a938ddf12987ee8b5d3a05576:title:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.330f5fda5399723540", "query_id": "gq_4887eee07b20997765b6", "job_id": "8411e98a938ddf12987ee8b5d3a05576", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "AI Engineer", "matched_input": "character ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:10dfe2e0acb79dc27e8dc688", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.c96512b791c5fc6c07", "query_id": "gq_4887eee07b20997765b6", "job_id": "8411e98a938ddf12987ee8b5d3a05576", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.1727b0c41185a66c45", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "2fc44fdaeaeac9b93e3683d8d06e2785", "title": "SAP AI Engineering Architect", "employer_name": "SAP", "employer_slug": "sap", "location_text": "Region Europe | Country Romania | Internal Posting Location Bucharest", "country": "RO", "employment_type": "full_time", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.sap.com/job/Bucharest-SAP-AI-Engineering-Architect-0030144/1381258133/", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "SAP AI Engineering Architect Region Europe | Country Romania | Internal Posting Location Bucharest Requisition ID: 451475 Work Area Consulting and Professional Services Expected Travel 0 - 10% Career Status Professional Employment Type Regular Full Time Recruiter Name: Additional Locations: We are seeking an experienced SAP AI Engineering Architect (f/m/d) to lead the design, development, and implementation of AI-driven solutions within our SAP ecosystem. The ideal candidate will possess deep expertise in SAP technologies, AI frameworks, and SAP Business Technology Platform (BTP), ensuring seamless integration and optimization of AI capabilities to drive business innovation and efficiency. What you'll build: · Architect and implement AI solutions within SAP systems to enhance business processes and decision-making. · Design and deploy scalable, secure, and high-performing AI powered applications on SAP BTP. · Utilize SAP BTP services such as SAP Generative AI Hub, SAP AI Core, SAP AI Business Services, SAP Integration Suite etc. to develop innovative solutions. · Develop and manage APIs and microservices using SAP BTP tools for seamless integration across SAP and non-SAP systems. · Leverage SAP BTP capabilities for data orchestration, analytics, and machine learning model deployment. · Collaborate with cross-functional teams to identify opportunities for AI integration and automation within SAP landscapes. · Optimize SAP systems for AI-driven analytics, predictive insights, and real-time decision-making. · Ensure compliance with data governance, security standards, and SAP", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "staff_plus", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.5f2e5de83931fed932", "query_id": "gq_4887eee07b20997765b6", "job_id": "2fc44fdaeaeac9b93e3683d8d06e2785", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "SAP AI Engineering Architect Region Europe | Country Romania | Internal Posting Location Bucharest Requisition ID: 451475 Work Area Consulting and Professional Services Expected Travel 0 - 10% Career Status Professional Employment Type Regular Full Time Recruiter Name: Additional Locations: We are seeking an experienced SAP AI Engineering Architect (f/m/d) to lead the design, development, and implementation of AI-driven solutions within our SAP ecosystem. The ideal candidate will possess deep expertise in SAP technologies, AI frameworks, and SAP Business Technology Platform (BTP), ensuring seamless integration and optimization of AI capabilities to drive business innovation and efficiency. What you'll build: · Architect and implement AI solutions within SAP systems to enhance business processes and decision-making. · Design and deploy scalable, secure, and high-performing AI powered applications on SAP BTP. · Utilize SAP BTP services such as SAP Generative AI Hub, SAP AI Core, SAP AI Business Services, SAP Integration Suite etc. to develop innovative solutions. · Develop and manage APIs and microservices using SAP BTP tools for seamless integration across SAP and non-SAP systems. · Leverage SAP BTP capabilities for data orchestration, analytics, and machine learning model deployment. · Collaborate with cross-functional teams to identify opportunities for AI integration and automation within SAP landscapes. · Optimize SAP systems for AI-driven analytics, predictive insights, and real-time decision-making. · Ensure compliance with data governance, security standards, and SAP", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:2fc44fdaeaeac9b93e3683d8d06e2785:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.1761dd5fb2e1b0479a", "query_id": "gq_4887eee07b20997765b6", "job_id": "2fc44fdaeaeac9b93e3683d8d06e2785", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "SAP AI Engineering Architect", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:2fc44fdaeaeac9b93e3683d8d06e2785:title:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.c31cd48039bb795338", "query_id": "gq_4887eee07b20997765b6", "job_id": "2fc44fdaeaeac9b93e3683d8d06e2785", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "SAP AI Engineering Architect", "matched_input": "character ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:33bb77dd1643196b5f61a013", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.1a7436ab2a89735e4c", "query_id": "gq_4887eee07b20997765b6", "job_id": "2fc44fdaeaeac9b93e3683d8d06e2785", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.81bec5b25cae7c683b", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "4cf3edd17b41ad18ae03fd7f622a8a50", "title": "Consulting AI & Data Platform", "employer_name": "Oracle", "employer_slug": "oracle", "location_text": "Brazil, BR", "country": "BR", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-03T00:00:00.000Z", "apply_url": "https://careers.oracle.com/en/sites/jobsearch/job/335657/", "apply_url_verified": false, "ats": "oracle_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Consulting AI & Data Platform Brazil, BR The professional will be responsible for connecting AI strategy, Oracle AIDP, OCI, Generative AI, data platforms, solution architecture, delivery execution, reusable assets, and commercial acceleration. The ideal candidate must be able to engage executives, challenge weak assumptions, translate business problems into AI solutions, lead technical teams without ambiguity, and convert AI demand into qualified opportunities, prototypes, proposals, and scalable delivery programs. This is a senior role requiring strong executive presence, hands-on AI credibility, commercial attitude, and the ability to operate effectively across Presales, Delivery, Product, and customer stakeholders. Responsibilities • Lead the AI strategy for the Oracle AIDP service practice across LATAM, including Generative AI, RAG, agents, analytics, data modernization, and industry use cases. • Act as the senior AI authority in strategic opportunities, executive workshops, engagements, architecture reviews, and proposal defense. • Translate business challenges into AI solutions with clear value hypotheses, KPIs, architecture, delivery scope, risks, and investment rationale. • Lead solution design for Oracle AIDP-based AI architectures, including Autonomous AI Database, Oracle AI Vector Search, OCI Generative AI, Data Integration, Lakehouse, Analytics, governance, and security. • Build reusable AI assets, including playbooks, demo patterns, reference architectures, estimation models, RAG templates, agent blueprints, and implementation accelerators. • Mentor and raise the technical bar for IC1-IC3 engineers, technical leads, project managers, and presales teams. • Support execution from qualification to prototype and commercial proposal, ensuring each engagement creates a credible path. • Establish AI delivery standards for responsible AI, security, privacy, model", "parental_leave_weeks": 14, "non_birth_parent_leave_weeks": 14, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.oracle.com/careers/culture/benefits/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 90, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ] }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1341439/000095017025087926/orcl-20250531.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1341439/000095017025087926/orcl-20250531.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "senior", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.6119ccc6594b54bdfc", "query_id": "gq_4887eee07b20997765b6", "job_id": "4cf3edd17b41ad18ae03fd7f622a8a50", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Consulting AI & Data Platform Brazil, BR The professional will be responsible for connecting AI strategy, Oracle AIDP, OCI, Generative AI, data platforms, solution architecture, delivery execution, reusable assets, and commercial acceleration. The ideal candidate must be able to engage executives, challenge weak assumptions, translate business problems into AI solutions, lead technical teams without ambiguity, and convert AI demand into qualified opportunities, prototypes, proposals, and scalable delivery programs. This is a senior role requiring strong executive presence, hands-on AI credibility, commercial attitude, and the ability to operate effectively across Presales, Delivery, Product, and customer stakeholders. Responsibilities • Lead the AI strategy for the Oracle AIDP service practice across LATAM, including Generative AI, RAG, agents, analytics, data modernization, and industry use cases. • Act as the senior AI authority in strategic opportunities, executive workshops, engagements, architecture reviews, and proposal defense. • Translate business challenges into AI solutions with clear value hypotheses, KPIs, architecture, delivery scope, risks, and investment rationale. • Lead solution design for Oracle AIDP-based AI architectures, including Autonomous AI Database, Oracle AI Vector Search, OCI Generative AI, Data Integration, Lakehouse, Analytics, governance, and security. • Build reusable AI assets, including playbooks, demo patterns, reference architectures, estimation models, RAG templates, agent blueprints, and implementation accelerators. • Mentor and raise the technical bar for IC1-IC3 engineers, technical leads, project managers, and presales teams. • Support execution from qualification to prototype and commercial proposal, ensuring each engagement creates a credible path. • Establish AI delivery standards for responsible AI, security, privacy, model", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:4cf3edd17b41ad18ae03fd7f622a8a50:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.60dff690dae877d968", "query_id": "gq_4887eee07b20997765b6", "job_id": "4cf3edd17b41ad18ae03fd7f622a8a50", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Consulting AI & Data Platform", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:4cf3edd17b41ad18ae03fd7f622a8a50:title:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.c5d860774c05de73a1", "query_id": "gq_4887eee07b20997765b6", "job_id": "4cf3edd17b41ad18ae03fd7f622a8a50", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Consulting AI & Data Platform", "matched_input": "character ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:157d9ce69c3f26b03be0fd02", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.7475c1e11f4a4ab51c", "query_id": "gq_4887eee07b20997765b6", "job_id": "4cf3edd17b41ad18ae03fd7f622a8a50", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.cd280112e5023f20f3", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "a0674574b3d6ac093335d85afd5f6388", "title": "SAP AI Architect - Multiple Locations", "employer_name": "SAP", "employer_slug": "sap", "location_text": "Country USA | Internal Posting Location New York", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.sap.com/job/New-York-SAP-AI-Architect-Multiple-Locations-NY-10001/1402556833/", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "SAP AI Architect - Multiple Locations Country USA | Internal Posting Location New York We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll build We are seeking a seasoned SAP AI Architect to lead the design, development, and deployment of AI driven solutions within our SAP ecosystem. The ideal candidate brings deep expertise in SAP technologies, modern AI frameworks, and the SAP Business Technology Platform (BTP), enabling seamless integration of AI capabilities that drive innovation, automation, and measurable business value. Key Responsibilities • Partner with customer stakeholders to define AI strategy, target architecture, and enterprise grade AI solutions that enhance business processes and deliver tangible outcomes. • Lead SAP AI discovery sessions and workshops to identify high value use cases, shape AI adoption roadmaps, and accelerate data driven decision making for SAP customers. • Architect robust AI solutions leveraging SAP technologies such as Generative AI Hub, BTP, AI Core, Joule, Business Application Studio, Build Code, HANA, S/4HANA, Business Data Cloud, and Integration Suite. • Design", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": {}, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.ae7bf3f51c197799b7", "query_id": "gq_4887eee07b20997765b6", "job_id": "a0674574b3d6ac093335d85afd5f6388", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "SAP AI Architect - Multiple Locations Country USA | Internal Posting Location New York We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll build We are seeking a seasoned SAP AI Architect to lead the design, development, and deployment of AI driven solutions within our SAP ecosystem. The ideal candidate brings deep expertise in SAP technologies, modern AI frameworks, and the SAP Business Technology Platform (BTP), enabling seamless integration of AI capabilities that drive innovation, automation, and measurable business value. Key Responsibilities • Partner with customer stakeholders to define AI strategy, target architecture, and enterprise grade AI solutions that enhance business processes and deliver tangible outcomes. • Lead SAP AI discovery sessions and workshops to identify high value use cases, shape AI adoption roadmaps, and accelerate data driven decision making for SAP customers. • Architect robust AI solutions leveraging SAP technologies such as Generative AI Hub, BTP, AI Core, Joule, Business Application Studio, Build Code, HANA, S/4HANA, Business Data Cloud, and Integration Suite. • Design", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:a0674574b3d6ac093335d85afd5f6388:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.40e73759a5fe7bc473", "query_id": "gq_4887eee07b20997765b6", "job_id": "a0674574b3d6ac093335d85afd5f6388", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "SAP AI Architect - Multiple Locations", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:a0674574b3d6ac093335d85afd5f6388:title:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.e7d6b75409f0cb5ec5", "query_id": "gq_4887eee07b20997765b6", "job_id": "a0674574b3d6ac093335d85afd5f6388", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "SAP AI Architect - Multiple Locations", "matched_input": "character ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:a090a54fdd1378eec8e65988", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.0bc54b7a293c599f89", "query_id": "gq_4887eee07b20997765b6", "job_id": "a0674574b3d6ac093335d85afd5f6388", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.957c190c5a569c7b03", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "f5bafd66fc12cc02f06b9b947505d964", "title": "Sr Manager Cyber Security & AI Automation Engineer", "employer_name": "Bunge", "employer_slug": "bunge", "location_text": "Warszawa", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.bunge.com/job/Warszawa-Sr-Manager-Cyber-Security-&-AI-Automation-Engineer-Maso-02-146/1395336333/", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Sr Manager Cyber Security & AI Automation Engineer Warszawa Requisition Number: 45653 Overview: The person in this role demonstrates a high level of professionalism, prioritizing the strategic development and implementation of AI security measures, leading a dedicated team, and ensuring the protection of Bunge's critical AI assets. This role is pivotal in establishing the foundational guardrails for ethical and secure AI adoption across Bunge, and strategically preparing our IT platforms for the evolving future AI landscape. Responsibilities include providing expert guidance, driving significant projects, and proactively identifying and mitigating advanced AI-related security risks across the organization. Main Accountabilities: Lead and manage significant operational plans and large-scale AI security projects and initiatives with substantial independence, ensuring successful execution and alignment with organizational goals, including the establishment of robust guardrails for AI usage within Bunge. Provide leadership and direction to a team of AI security professionals and support staff, fostering their development and ensuring high performance in securing AI systems. Hold responsibility for the overall performance, budgetary oversight, and results of a dedicated medium-sized AI security team or multiple smaller teams. Resolve complex security issues that extend beyond immediate team boundaries, leveraging comprehensive knowledge of related disciplines to ensure holistic solutions, while also contributing to the strategic readiness", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://jobs.bunge.com/job/Chesterfield-Senior-Manager-Compensation-MO-63017/1266724501/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "company_stage": null, "company_stage_source": null, "employer_industry": "Industrial", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.740ca48136865f05af", "query_id": "gq_4887eee07b20997765b6", "job_id": "f5bafd66fc12cc02f06b9b947505d964", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Sr Manager Cyber Security & AI Automation Engineer Warszawa Requisition Number: 45653 Overview: The person in this role demonstrates a high level of professionalism, prioritizing the strategic development and implementation of AI security measures, leading a dedicated team, and ensuring the protection of Bunge's critical AI assets. This role is pivotal in establishing the foundational guardrails for ethical and secure AI adoption across Bunge, and strategically preparing our IT platforms for the evolving future AI landscape. Responsibilities include providing expert guidance, driving significant projects, and proactively identifying and mitigating advanced AI-related security risks across the organization. Main Accountabilities: Lead and manage significant operational plans and large-scale AI security projects and initiatives with substantial independence, ensuring successful execution and alignment with organizational goals, including the establishment of robust guardrails for AI usage within Bunge. Provide leadership and direction to a team of AI security professionals and support staff, fostering their development and ensuring high performance in securing AI systems. Hold responsibility for the overall performance, budgetary oversight, and results of a dedicated medium-sized AI security team or multiple smaller teams. Resolve complex security issues that extend beyond immediate team boundaries, leveraging comprehensive knowledge of related disciplines to ensure holistic solutions, while also contributing to the strategic readiness", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:f5bafd66fc12cc02f06b9b947505d964:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.cb801cf336077c012e", "query_id": "gq_4887eee07b20997765b6", "job_id": "f5bafd66fc12cc02f06b9b947505d964", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Sr Manager Cyber Security & AI Automation Engineer", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:f5bafd66fc12cc02f06b9b947505d964:title:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.e622b7650d4db09e84", "query_id": "gq_4887eee07b20997765b6", "job_id": "f5bafd66fc12cc02f06b9b947505d964", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Sr Manager Cyber Security & AI Automation Engineer", "matched_input": "character ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:19235bd0bbb470eb3826e381", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.6b19a09699132e3c04", "query_id": "gq_4887eee07b20997765b6", "job_id": "f5bafd66fc12cc02f06b9b947505d964", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.6fdb7e256be47782df", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "147351680e6b248b2369de010646bc09", "title": "SAP BTP AI Architect", "employer_name": "SAP", "employer_slug": "sap", "location_text": "Country USA | Internal Posting Location Newtown Square", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.sap.com/job/Newtown-Square-SAP-BTP-AI-Architect-PA-19073/1290564901/", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "SAP BTP AI Architect Country USA | Internal Posting Location Newtown Square We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll build We are seeking an experienced SAP BTP AI Architect to lead the design, development, and implementation of AI-driven solutions within our SAP ecosystem. The ideal candidate will possess deep expertise in SAP technologies, AI frameworks, and SAP Business Technology Platform (BTP), enabling the integration and operationalization of AI capabilities across enterprise landscapes. This role will focus on architecting scalable AI solutions, enabling intelligent automation, and embedding AI-powered decision-making into business processes, while ensuring alignment with enterprise architecture, security, and data governance standards. Key Responsibilities Architect and implement AI-powered solutions across SAP landscapes to enhance business processes, insights, and decision-making. Design and deploy secure, scalable, and high-performing AI-enabled applications on SAP BTP. Leverage SAP BTP services, including SAP AI Foundation (AI Core, AI Launchpad), Generative AI Hub, SAP AI", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "staff_plus", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.e9d62a943e7c740ed3", "query_id": "gq_4887eee07b20997765b6", "job_id": "147351680e6b248b2369de010646bc09", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "SAP BTP AI Architect Country USA | Internal Posting Location Newtown Square We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll build We are seeking an experienced SAP BTP AI Architect to lead the design, development, and implementation of AI-driven solutions within our SAP ecosystem. The ideal candidate will possess deep expertise in SAP technologies, AI frameworks, and SAP Business Technology Platform (BTP), enabling the integration and operationalization of AI capabilities across enterprise landscapes. This role will focus on architecting scalable AI solutions, enabling intelligent automation, and embedding AI-powered decision-making into business processes, while ensuring alignment with enterprise architecture, security, and data governance standards. Key Responsibilities Architect and implement AI-powered solutions across SAP landscapes to enhance business processes, insights, and decision-making. Design and deploy secure, scalable, and high-performing AI-enabled applications on SAP BTP. Leverage SAP BTP services, including SAP AI Foundation (AI Core, AI Launchpad), Generative AI Hub, SAP AI", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:147351680e6b248b2369de010646bc09:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.57c5190f27bdbd322e", "query_id": "gq_4887eee07b20997765b6", "job_id": "147351680e6b248b2369de010646bc09", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "SAP BTP AI Architect", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:147351680e6b248b2369de010646bc09:title:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.5f8725fa62a999e6ca", "query_id": "gq_4887eee07b20997765b6", "job_id": "147351680e6b248b2369de010646bc09", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "SAP BTP AI Architect", "matched_input": "character ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:839e087be0f6dedfad3ae901", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.aa69bd3457db9f3c68", "query_id": "gq_4887eee07b20997765b6", "job_id": "147351680e6b248b2369de010646bc09", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.6b6cbf21f17cb61dd6", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "d8f23769031f7262009e870cf3229a4f", "title": "Process Executive - AI & Service Management", "employer_name": "Bunge", "employer_slug": "bunge", "location_text": "Bhurai, IN", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.bunge.com/job/Bhurai-In-Process-Executive-AI-&-Service-Management-PB-160059/1385821633/", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Process Executive - AI & Service Management Bhurai, IN Requisition Number: 45146 Business Title Process Executive - AI & Service Management Global Function Business Services Global Department Service Management Reporting to Senior Manager - Center Projects Role Purpose Statement An artificial intelligence (AI) engineer is responsible for designing, developing, and deploying AI solutions that enhance business processes and solve complex problems. Collaborating with cross-functional teams, AI engineers build and train machine learning models, develop algorithms, and integrate AI systems into existing software and infrastructure. In addition to technical responsibilities, AI engineers play a strategic role by identifying opportunities for AI applications and driving innovation across processes. With a focus on continuous improvement, AI engineers stay updated on advancements in artificial intelligence, exploring tools like PyTorch, TensorFlow, to enhance scalability and efficiency. This dynamic role is essential for Bunge looking to remain competitive in a rapidly evolving technological landscape. Main Accountabilities Key Responsibilities Develop and implement AI models. Design machine learning models and algorithms to solve problems and enhance functionality. Collaborate with cross-functional teams to build and deploy AI solutions. Optimize AI systems. Improve the performance of AI models and systems for scalability and real-time applications. Conduct data analysis. Analyze large data sets to identify patterns and insights that in", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://jobs.bunge.com/job/Chesterfield-Senior-Manager-Compensation-MO-63017/1266724501/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": {}, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "company_stage": null, "company_stage_source": null, "employer_industry": "Industrial", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.ab37871f8f6cc5ea60", "query_id": "gq_4887eee07b20997765b6", "job_id": "d8f23769031f7262009e870cf3229a4f", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Process Executive - AI & Service Management Bhurai, IN Requisition Number: 45146 Business Title Process Executive - AI & Service Management Global Function Business Services Global Department Service Management Reporting to Senior Manager - Center Projects Role Purpose Statement An artificial intelligence (AI) engineer is responsible for designing, developing, and deploying AI solutions that enhance business processes and solve complex problems. Collaborating with cross-functional teams, AI engineers build and train machine learning models, develop algorithms, and integrate AI systems into existing software and infrastructure. In addition to technical responsibilities, AI engineers play a strategic role by identifying opportunities for AI applications and driving innovation across processes. With a focus on continuous improvement, AI engineers stay updated on advancements in artificial intelligence, exploring tools like PyTorch, TensorFlow, to enhance scalability and efficiency. This dynamic role is essential for Bunge looking to remain competitive in a rapidly evolving technological landscape. Main Accountabilities Key Responsibilities Develop and implement AI models. Design machine learning models and algorithms to solve problems and enhance functionality. Collaborate with cross-functional teams to build and deploy AI solutions. Optimize AI systems. Improve the performance of AI models and systems for scalability and real-time applications. Conduct data analysis. Analyze large data sets to identify patterns and insights that in", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:d8f23769031f7262009e870cf3229a4f:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.location_text.afcd93ccd853a44ee1", "query_id": "gq_4887eee07b20997765b6", "job_id": "d8f23769031f7262009e870cf3229a4f", "signal_type": "query_match", "display_text": "Location: \"ai\"", "tooltip": "Location matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "location_text", "source_value": "Bhurai, IN", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:d8f23769031f7262009e870cf3229a4f:location:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.39072e302b341f51a2", "query_id": "gq_4887eee07b20997765b6", "job_id": "d8f23769031f7262009e870cf3229a4f", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Process Executive - AI & Service Management", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:d8f23769031f7262009e870cf3229a4f:title:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.83e1fea8fc83010c4e", "query_id": "gq_4887eee07b20997765b6", "job_id": "d8f23769031f7262009e870cf3229a4f", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Process Executive - AI & Service Management", "matched_input": "character ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:b39995fb02ccaafd4da0c34c", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.c8bd699c7b922aef84", "query_id": "gq_4887eee07b20997765b6", "job_id": "d8f23769031f7262009e870cf3229a4f", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.23dbfb170277ef6a69", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "5cf50a6f221823ed2ef0f3f7cb3f3f0e", "title": "Expert Software Engineer - AI Data Platforms", "employer_name": "SAP", "employer_slug": "sap", "location_text": "Region Europe | Country Bulgaria | Internal Posting Location Sofia", "country": "BG", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.sap.com/job/Sofia-Expert-Software-Engineer-AI-Data-Platforms-1407/1398281833/", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Expert Software Engineer - AI Data Platforms Region Europe | Country Bulgaria | Internal Posting Location Sofia We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Summary: At SAP, we integrate AI technology with extensive industry-specific data and deep process knowledge to create innovative AI capabilities for all SAP applications. SAP Business AI is responsible for central AI technologies and cloud services such as Joule, Generative AI Hub, AI Core, and other foundational AI capabilities powering AI across the SAP portfolio. Within this landscape, our team focuses on building scalable data platform services enabling AI use cases through trusted, governed, and high-quality business data. Our platform powers large-scale data ingestion, orchestration, processing, cataloguing, and exploration capabilities used across SAP Business AI scenarios. We are looking for an Expert Software Engineer with strong hands-on engineering expertise and technical leadership capabilities. This role is ideal for an experienced engineer who thrives in complex cloud-native environments, drives technical direction, mentors developers through hands-on collaboration, an", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.5cc1c74973fb1937fb", "query_id": "gq_4887eee07b20997765b6", "job_id": "5cf50a6f221823ed2ef0f3f7cb3f3f0e", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Expert Software Engineer - AI Data Platforms Region Europe | Country Bulgaria | Internal Posting Location Sofia We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Summary: At SAP, we integrate AI technology with extensive industry-specific data and deep process knowledge to create innovative AI capabilities for all SAP applications. SAP Business AI is responsible for central AI technologies and cloud services such as Joule, Generative AI Hub, AI Core, and other foundational AI capabilities powering AI across the SAP portfolio. Within this landscape, our team focuses on building scalable data platform services enabling AI use cases through trusted, governed, and high-quality business data. Our platform powers large-scale data ingestion, orchestration, processing, cataloguing, and exploration capabilities used across SAP Business AI scenarios. We are looking for an Expert Software Engineer with strong hands-on engineering expertise and technical leadership capabilities. This role is ideal for an experienced engineer who thrives in complex cloud-native environments, drives technical direction, mentors developers through hands-on collaboration, an", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:5cf50a6f221823ed2ef0f3f7cb3f3f0e:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.9b5b7af900d713b89f", "query_id": "gq_4887eee07b20997765b6", "job_id": "5cf50a6f221823ed2ef0f3f7cb3f3f0e", "signal_type": "query_match", "display_text": "Title: \"ai\"", "tooltip": "Title matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Expert Software Engineer - AI Data Platforms", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:5cf50a6f221823ed2ef0f3f7cb3f3f0e:title:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.a9a32dd6b148c3d518", "query_id": "gq_4887eee07b20997765b6", "job_id": "5cf50a6f221823ed2ef0f3f7cb3f3f0e", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Expert Software Engineer - AI Data Platforms", "matched_input": "character ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:3d36871ce77193d72e9eba90", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.9e5621bba98133c5aa", "query_id": "gq_4887eee07b20997765b6", "job_id": "5cf50a6f221823ed2ef0f3f7cb3f3f0e", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.b89b133f436453adc3", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "bafc56c23edbedcf1282e181ec9ce995", "title": "Principal Application Software Engineer", "employer_name": "Oracle", "employer_slug": "oracle", "location_text": "United States, US", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 99600, "salary_max": 223400, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 99600, "base_salary_max": 223400, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": true, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-05T00:00:00.000Z", "apply_url": "https://careers.oracle.com/en/sites/jobsearch/job/332765/", "apply_url_verified": false, "ats": "oracle_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Principal Application Software Engineer United States, US Oracle is seeking an experienced Software Engineer to join a highly skilled team focused on building modern cloud and AI-enabled enterprise solutions. This role is ideal for a developer with strong hands-on experience in Oracle APEX, PL/SQL, Oracle Database technologies, and a solid foundation in full-stack software development. OCI Enterprise Engineering helps drive Oracle's AI transformation by delivering modern enterprise services. Our team builds secure, scalable AI frameworks, platforms, and developer tools that enable applications, empower employees, and improve productivity. This role is ideal for engineering-focused individuals who enjoy solving complex problems and delivering high-impact AI enablement solutions. As a member of the OCI Enterprise Engineering AI Services team, you will help design, develop, and support enterprise AI solutions using Oracle APEX, Oracle Database, PL/SQL, OpenAI tools, and Anthropic AI tools. In this role, you will work on next-generation AI-enabled applications, integrate AI capabilities into business workflows, and contribute to reliable, secure, and scalable software solutions for Oracle's internal enterprise platforms. Design, architect, develop, and operate secure, scalable, highly available enterprise AI-enabled applications and services using Oracle APEX, Oracle Database, PL/SQL, SQL, REST APIs, JSON, JavaScript, and modern full-stack engineering practices. Build reusable enterprise AI frameworks, developer platforms, APIs, orchestration services, and AI accelerators that enable scalable AI adoption across Oracle enterprise applications. Drive the technical design and architecture of enterprise AI solutions, ensuring maintainability, scalability, resiliency, security, observability, and operational readiness. Integrate Generative AI capabilities using OpenAI technologies including GPT models, Assistants", "parental_leave_weeks": 14, "non_birth_parent_leave_weeks": 14, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.oracle.com/careers/culture/benefits/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 94, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ] }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1341439/000095017025087926/orcl-20250531.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "bonus_offered": { "field": "bonus_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "bonus_offered" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1341439/000095017025087926/orcl-20250531.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" } }, "seniority": "principal", "years_experience_min": 8, "years_experience_max": 12, "role_function": "engineering", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.248ddcf1a7f8414e64", "query_id": "gq_4887eee07b20997765b6", "job_id": "bafc56c23edbedcf1282e181ec9ce995", "signal_type": "query_match", "display_text": "Description: \"ai\"", "tooltip": "Description matched \"ai\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Principal Application Software Engineer United States, US Oracle is seeking an experienced Software Engineer to join a highly skilled team focused on building modern cloud and AI-enabled enterprise solutions. This role is ideal for a developer with strong hands-on experience in Oracle APEX, PL/SQL, Oracle Database technologies, and a solid foundation in full-stack software development. OCI Enterprise Engineering helps drive Oracle's AI transformation by delivering modern enterprise services. Our team builds secure, scalable AI frameworks, platforms, and developer tools that enable applications, empower employees, and improve productivity. This role is ideal for engineering-focused individuals who enjoy solving complex problems and delivering high-impact AI enablement solutions. As a member of the OCI Enterprise Engineering AI Services team, you will help design, develop, and support enterprise AI solutions using Oracle APEX, Oracle Database, PL/SQL, OpenAI tools, and Anthropic AI tools. In this role, you will work on next-generation AI-enabled applications, integrate AI capabilities into business workflows, and contribute to reliable, secure, and scalable software solutions for Oracle's internal enterprise platforms. Design, architect, develop, and operate secure, scalable, highly available enterprise AI-enabled applications and services using Oracle APEX, Oracle Database, PL/SQL, SQL, REST APIs, JSON, JavaScript, and modern full-stack engineering practices. Build reusable enterprise AI frameworks, developer platforms, APIs, orchestration services, and AI accelerators that enable scalable AI adoption across Oracle enterprise applications. Drive the technical design and architecture of enterprise AI solutions, ensuring maintainability, scalability, resiliency, security, observability, and operational readiness. Integrate Generative AI capabilities using OpenAI technologies including GPT models, Assistants", "matched_input": "ai", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_4887eee07b20997765b6:bafc56c23edbedcf1282e181ec9ce995:description:ai", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.description_excerpt.77e29a32e7d3d14b2f", "query_id": "gq_4887eee07b20997765b6", "job_id": "bafc56c23edbedcf1282e181ec9ce995", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Principal Application Software Engineer United States, US Oracle is seeking an experienced Software Engineer to join a highly skilled team focused on building modern cloud and AI-enabled enterprise solutions. This role is ideal for a developer with strong hands-on experience in Oracle APEX, PL/SQL, Oracle Database technologies, and a solid foundation in full-stack software development. OCI Enterprise Engineering helps drive Oracle's AI transformation by delivering modern enterprise services. Our team builds secure, scalable AI frameworks, platforms, and developer tools that enable applications, empower employees, and improve productivity. This role is ideal for engineering-focused individuals who enjoy solving complex problems and delivering high-impact AI enablement solutions. As a member of the OCI Enterprise Engineering AI Services team, you will help design, develop, and support enterprise AI solutions using Oracle APEX, Oracle Database, PL/SQL, OpenAI tools, and Anthropic AI tools. In this role, you will work on next-generation AI-enabled applications, integrate AI capabilities into business workflows, and contribute to reliable, secure, and scalable software solutions for Oracle's internal enterprise platforms. Design, architect, develop, and operate secure, scalable, highly available enterprise AI-enabled applications and services using Oracle APEX, Oracle Database, PL/SQL, SQL, REST APIs, JSON, JavaScript, and modern full-stack engineering practices. Build reusable enterprise AI frameworks, developer platforms, APIs, orchestration services, and AI accelerators that enable scalable AI adoption across Oracle enterprise applications. Drive the technical design and architecture of enterprise AI solutions, ensuring maintainability, scalability, resiliency, security, observability, and operational readiness. Integrate Generative AI capabilities using OpenAI technologies including GPT models, Assistants", "matched_input": "character ai", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:47bec140e3f54ef6ac690f61", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.9ec8895a44e133e67c", "query_id": "gq_4887eee07b20997765b6", "job_id": "bafc56c23edbedcf1282e181ec9ce995", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.68d27ba57169fe52a3", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] } ], "total": 0, "page": 1, "per_page": 24, "applied_filters": { "q": "Character.AI", "quality_floor": "all", "verified_benefits_only": true }, "hidden_unknown_benefits_count": 0, "hidden_quality_floor_count": 0, "quality_floor": "all", "search_profile": { "profile_id": "inv382.d6.pg_textsearch_bge_small_rrf.v1", "bm25_extension": "pg_textsearch", "vector_model": "BAAI/bge-small-en-v1.5", "vector_model_version": "v1.5", "fusion_method": "rrf" }, "explanation_context": { "non_trivial_query": true, "query_terms": [ "character.ai" ], "active_filter_keys": [ "verified_benefits_only" ], "visible_signal_limit": 3, "visible_trust_limit": 2 }, "event_context": null }