Expert AI Engineer

Benefits

Parental leave

6 weeks Source: https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board. source Last checked May 7, 2026.

Non-birth-parent leave

6 weeks Source: https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board. source Last checked May 7, 2026.

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Expert AI Engineer Country India | Internal Posting Location Bangalore 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: Product Development: Design, develop, deploy, evaluate, optimize & scale (multi) agent AI solutions for real-world business challenges Architect & integrate APIs to build agent flows, LLM orchestration, & multi-agent systems using LangChain, CrewAI, AutoGen, Google-ADK Build & scale CI/CD, AgentOps pipelines for managing the E2E agent lifecycle monitoring, evaluation & continuous improvement using LLM Judge concepts and AgentOps frameworks, e.g., MLFlow 3.0, LangFuse Ensure reliability, observability and compliance of deployed AI solution Collaboration: Ensure the balance of priorities, “doing the right things”, while ensuring quality and maintainability “doing things right” Collaborate with stakeholders to identify key opportunities for autonomous agent solutions across the organization Take full responsibility for achievement of the squad's goals Adhere to the standards set by architects, security & other SMEs Support other members in the same squad Continuous Im

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