Snaplogic jobs

MarkLogic Developer (SME) Bethesda, MD posted: Posted 30+ Days Ago

Agentic Process Consultant Illinois - Chicago; Utah - Remote; Texas - Remote; Tennessee - Remote; North Carolina - Remote; Rhode Island - Remote; Vermont - Remote; South Dakota - Remote; Arkansas - Remote; Minnesota - Remote; California - Remote; Florida - Remote; Maryland - Remote; Washington - Remote; Arizona - Remote; West Virginia - Remote; Georgia - Atlanta; New York - Remote; Montana - Remote; New York - New York City Metro - Remote; Nebraska - Remote; Connecticut - Remote; Colorado - Remote; Missouri - Remote; New Mexico - Remote; Washington D.C. - Remote; Massachusetts - Remote; Nevada - Remote; Louisiana - Remote; Oregon - Remote; Oklahoma - Remote; Georgia - Remote; New York - New York; Wyoming - Remote; Kentucky - Remote; Ohio - Remote; Wisconsin - Remote; Mississippi - Remote; South Carolina - Remote; Maine - Remote; Delaware - Remote; Kansas - Remote; Idaho - Remote; Indiana - Remote; Pennsylvania - Remote; Michigan - Remote; Alabama - Remote; California - San Francisco; New Jersey - Remote; Illinois - Remote; Iowa - Remote; New Hampshire - Remote; North Dakota - Remote; Virginia - Remote; District of Columbia - Washington Agentic Business Consultant, Agentforce Process Automation The Agentic Process Automation and Intelligence Consultant is the primary strategic driver for go-to-market motion for our agentforce process automation (Regrello and Apromore). You will own the end-to-end value narrative-from initial discovery and use-case roadmapping to the delivery of high-stakes Proof of Concept (POC) engagements that prove the transformative power of these solutions. The

Senior AI and Data Architect Alabama - Remote; Utah - Remote; Texas - Remote; Tennessee - Remote; North Carolina - Remote; Rhode Island - Remote; Vermont - Remote; South Dakota - Remote; Arkansas - Remote; Minnesota - Remote; Alaska - Remote; California - Remote; Florida - Remote; Maryland - Remote; Washington - Remote; Arizona - Remote; West Virginia - Remote; New York - Remote; Montana - Remote; Nebraska - Remote; Connecticut - Remote; Colorado - Remote; Missouri - Remote; New Mexico - Remote; Washington D.C. - Remote; Nevada - Remote; Louisiana - Remote; Oregon - Remote; Oklahoma - Remote; Georgia - Remote; Wyoming - Remote; Hawaii - Remote; Kentucky - Remote; Ohio - Remote; Wisconsin - Remote; Mississippi - Remote; South Carolina - Remote; Maine - Remote; Delaware - Remote; Kansas - Remote; Idaho - Remote; Indiana - Remote; Pennsylvania - Remote; Michigan - Remote; New Jersey - Remote; Illinois - Remote; Iowa - Remote; New Hampshire - Remote; North Dakota - Remote; Virginia - Remote The Senior AI and Data Architect is a recognized expert and demonstrated thought leader in the technical and functional application of Agentforce for enterprise customer engagements. This role significantly influences the successful architecture and delivery of complex Agentforce projects and drives internal knowledge scaling. This position sits within CSG Professional Services, on the Data Excellence team. Its functions are split equally between delivery and internal employee enablement, whereby half of the role is customer-facing and involves serving Salesforce's enterprise Agentforce customers as a technical

Software Engineer II, Backend (AI Agents) Remote Canada

Slack Solution Engineer Illinois - Chicago; California - Irvine; Massachusetts - Boston; Georgia - Atlanta; New York - New York; Massachusetts - Burlington; Virginia - Mclean; California - San Francisco; Colorado - Denver; District of Columbia - Washington We're looking for a Solution Engineer to join our Slack team - someone who thrives on helping customers solve complex challenges and reimagine how work gets done. What you will be doing Partner with Account Executives to drive complex, multi-stakeholder deal cycles across industries to solve diverse mission-critical business problems Drive the discovery process, helping to uncover customers' current pain points and align to their business objectives Prepare and deliver high-impact presentations and demonstrations that communicate Slack's unique value Partner with customers to design Slack-based solutions that drive value and significant business impact Ensure customers understand how Slack's industry-leading security program protects their organization Support security, compliance, and architecture conversations and address technical objections Guide customers through the evaluation process of Slack, ensuring that our solution meets key business objectives and technical requirements Contribute to the success of a rapidly growing and evolving SE organization Act as a liaison between Product, Marketing, and Sales, sharing customer feedback to help craft the product roadmap Mentor and coach other SEs, account teams, and partners on positioning Slack as the Agentic OS (Slack's AI-powered platform for automating and connecting work across your organization) What you should have Typically 4-10 years of sales engineering or solution consulting experience in a SaaS or tech-first organization Excellent written

Senior AI Engineer (Agentic AI) WARSAW DOWNTOWN OFFICE posted: Posted 14 Days Ago

Solution Engineer - AI & Data Integration - US Federal Virginia - Mclean; Illinois - Chicago; Texas - Austin; Georgia - Atlanta; New York - New York; Texas - Dallas; California - San Francisco; Colorado - Denver Salesforce is hiring an AI & Data Integration Solution Engineer to join our Global Public Sector team, specifically supporting the US Federal region. The AI revolution is a data evolution, and this critical role sits at the forefront of making agentic AI a reality for our government customers. As an AI & Data Integration specialist, you are more than a technical expert - you are a strategic architectural partner who consolidates expertise across MuleSoft (Integration), Tableau (Analytics), Data 360 (Unified Data Management), and agentic AI to solve complex data and AI challenges for [area] customers. In this role, you will bridge the gap between legacy system connectivity and modern mission outcomes, acting as a trusted advisor who can navigate everything from API management and real-time data unification to advanced analytics and intelligent agentic systems. The Solution Engineer role focuses on closing sales opportunities - collaborating with account executives, customers, and partners to formulate a comprehensive technical account strategy and secure the technical win. You will lead activities to support the sales process including product demonstrations, technical workshop delivery, architecture strategy sessions, and other customer engagements. You will contribute to the success of customers by conducting holistic discovery, defining the “data-to-agentic-AI journey,” and designing compliant, AI-ready architectures that deliver actionable insights from disparate silos

Software Development Engineer, AWS Marketplace AI Agents Seattle, Washington, USA AWS Marketplace is a digital catalog where customers discover, evaluate, procure, and deploy third-party cloud software through the Marketplace website and AWS consoles. The AI Agents team is building the next generation of agentic commerce experiences - enabling AI agents to autonomously discover, negotiate, purchase, and consume software on behalf of customers. We own our product roadmap, technical design, engineering process, launch plan and go-to-market Our team is made up of inspired product managers, strong technical leaders, and motivated, autonomous software engineers operating at the frontier of agentic AI and commerce. As a Software Dev Engineer on the team, you'll design and build the backend services and APIs that power agent-to-agent transactions, payment protocols (such as x402), and programmatic software procurement - meeting the high bar for reliability, security, and performance that machine-speed commerce demands. You operate at all levels - diving deep into implementation details while providing strategic input on product direction. You will design and implement features that deliver customer benefit at scale, closely with product managers, applied scientists, and peer-level engineers to ship critical products in a fast-moving space. You will own quality and deployment for your code. You will mentor junior team members and raise the bar on software development best practices. You're expected to think like an owner, driving the right trade-offs on time to market, quality, and breadth of functionality. The ideal candidate is a creative technologist with both breadth and depth across distributed

Sr. Software Engineer - Agentic AI PA - Philadelphia, 1800 Arch St posted: Posted 30+ Days Ago

Senior Applied Scientist, Applied AI Solutions GTM Dallas, Texas, USA Amazon Web Services (AWS) Applied AI Solutions (AAIS) is on a mission to make AI real for enterprises. We build and deploy production AI solutions that drive measurable business outcomes at scale, bringing together applied scientists, AI architects, business development professionals, and GTM specialists to help customers move from AI experimentation to production impact. Within AAIS, the GTM Acceleration team activates the field, measures impact, and scales what works. We are the connective tissue between AAIS product and science teams and the worldwide field organization, ensuring our AI solutions reach customers effectively, that we quantify the value we deliver, and that we build repeatable motions that scale globally. We are looking for an Applied Scientist who will serve as a force multiplier across our customer engagement teams, building the analytical foundations, predictive models, and reusable tooling that power our go-to-market strategy. You will work at the intersection of data science, machine learning, and business strategy, building models that quantify our value proposition, and creating scalable analytical assets that accelerate every engagement. This is a highly visible, high-impact role where your work directly influences how we demonstrate and measure the value of AWS AI solutions for enterprise customers. You will operate with significant autonomy, owning the scientific direction of your projects while collaborating with software engineers, product managers, and business stakeholders. You will identify the right methodology for each problem, whether that is a classical statistical approach, a modern deep learning

Sr Data Scientist, SPX AI Lab, SPX Science Seattle, Washington, USA Amazon Seller Assistant is our flagship GenAI-first, multi-agent system that reimagines Seller experience. Our vision is to provide each seller with a proactive, autonomous, agentic assistant that understands their business and helps them navigate the complexities of selling by anticipating their needs, surfacing insights, resolving issues, taking actions on their behalf, and helping them grow. Amazon Seller Assistant helps millions of sellers on Amazon serve billions of customers worldwide. We are seeking a world-class Senior Data Scientist to help define and build the next generation of Amazon Seller Assistant. You will partner with top-tier scientist, engineers and product teams to launch production-grade agentic capabilities at Amazon's scale - owning your problem space end-to-end, from a crisp customer insight to a shipped product that millions of sellers rely on. Key job responsibilities • Own the science vision, strategy, and roadmap for a key Seller Assistant capability area. • Define and ship agentic experiences - sub-agent onboarding, tool onboarding, evaluations- that solve hard seller problems at scale. • Partner with scientists and engineers to translate frontier AI research into production-grade features sellers trust and depend on. • Design rigorous evaluation frameworks - automated and human-in-the-loop - to measure agent quality, accuracy, and business impact. • Deep-dive into seller data, identify unmet needs, and write compelling PRFAQs that set the direction for your team. • Drive cross-functional alignment across science, engineering, UX, and business teams to deliver with speed and quality. About

GDB/X - Junior Agentic AI Engineer (m/f/d) Country / Location India Junior Agentic AI Engineer OrgCode: GDB/X Product Team: Intelligent Automation Responsibilities: - Create Agent Tools: Write Python functions and API wrappers that allow our agents to perform actions (e.g., "Look up material price in SAP"), following the MCP standard. - Maintain Quality: Write comprehensive unit tests and "Evals" (using LLM-as-a-Judge) to ensure our agents are accurate, safe, and helpful. - Support Operations: Monitor agent performance using our observability tools, helping to identify and fix issues like hallucinations or failed API calls. - Build & Test Agents: Develop specific domain agents (e.g., "HR Policy Assistant", "IT Ticket Classifier") using our pre-validated Blueprints and Azure AI Foundry. - Learn & Grow: Rapidly upskill on AKS, Databricks, and LangGraph, moving from building simple chatbots to complex autonomous systems under the mentorship of senior team members. Qualifications: - Foundational Skills: Strong grasp of Python programming. You know your way around data structures, APIs (REST), and basic version control (GitHub). - AI Curiosity: You have experimented with LLMs (OpenAI API, Hugging Face) and understand the basics of Prompt Engineering and RAG. - Tech Savvy: Familiarity with Docker and basic cloud concepts (Azure/AWS) is a big plus. - Mindset: You are a fast learner who isn't afraid to break things in a sandbox to understand how they work. You are passionate about how AI can solve real-world problems. - Team Player: You communicate c

GDB/X - Senior Agentic AI Engineer (M/F/D) Country / Location India Senior Agentic AI Engineer OrgCode: GDB/X Product Team: Intelligent Automation Responsibilities: - Engineer Core Components: Lead the development of the orchestration service and Agent-to-Agent (A2A) bus, writing high-performance Python code that routes thousands of requests per minute. - Build Complex Agents: Implement "Horizon 3/4" autonomous agents (e.g., self-correcting coding agents, complex supply chain optimizers) using LangGraph or AutoGen hosted on AKS. - Integrate Data & AI: Build robust integrations between Databricks (Unity Catalog) and our agent runtime, ensuring agents have access to real time, governed business data. - Optimize Performance: Tackle the hard problems of agentic AI-latency reduction, token cost optimization, and managing distributed state across long-running workflows. - Mentor & Review: Conduct code reviews for junior engineers and divisional teams, ensuring that all agent code adheres to our Zero-Trust security practices and software engineering standards. - Develop Tools (MCP): Build and maintain a library of Model Context Protocol (MCP) compliant tools that allow agents to interact with SAP, ServiceNow, and other enterprise APIs. Qualifications: - Engineering Mastery: You are a software engineer first. You write clean, testable, production-grade Python (FastAPI, Pydantic) and are comfortable with async/await patterns and concurrency. - Container Native: You don't just run Docker locally; you have experience deploying and debugging complex appl

Data Scientist, SPX AI Lab, SPX Science Seattle, Washington, USA Amazon Seller Assistant is our flagship GenAI-first, multi-agent system that reimagines seller experience. Our vision is to provide each seller with a proactive, autonomous, agentic assistant that understands their business and helps them navigate the complexities of selling by anticipating their needs, surfacing insights, resolving issues, taking actions on their behalf, and helping them grow. Amazon Seller Assistant helps millions of sellers on Amazon serve billions of customers worldwide. We are seeking a world-class Data Scientist to help define and build the next generation of Amazon Seller Assistant. You will partner with top-tier scientists, product managers and engineers to launch production-grade agentic capabilities at Amazon's scale - owning your problem space end-to-end, from a crisp customer insight to a shipped product that millions of sellers rely on. Key job responsibilities -- Respond to Seller feedback and implement fix in Gen AI solution to enhance Seller experience -- Drive deep-dive analytical studies to understand seller pain points, evaluate feature performance, and identify opportunities to improve the Selling Partner experience. -- Design and execute robust causal inference and measurement frameworks, including A/B testing, quasi-experiments, and observational causal methods (e.g., diff-in-diff, synthetic control, propensity score methods). -- Develop scalable analytical pipelines for impact measurement, KPI development, metric integrity validation, and long-term business monitoring. -- Apply NLP and statistical modeling techniques-including topic modeling, clustering, semantic similarity, and classification-to uncover insights from unstructured seller interactions, feedback, and content. -- Partner with scientists, engineers, economists, and

Manager Software Engineering, AI Agents DC - Washington, 1325 G ST NW STE 300 posted: Posted Today

Applied Scientist, SPX AI Lab Seattle, Washington, USA Amazon Seller Assistant is our flagship GenAI-first, multi-agent system that reimagines seller experience. Our vision is to provide each seller with a proactive, autonomous, agentic assistant that understands their business and helps them navigate the complexities of selling by anticipating their needs, surfacing insights, resolving issues, taking actions on their behalf, and helping them grow. Amazon Seller Assistant helps millions of sellers on Amazon serve billions of customers worldwide. We are seeking a world-class Applied Scientist to help define and build the next generation of Amazon Seller Assistant. You will partner with top-tier scientists and engineers to launch production-grade agentic capabilities at Amazon's scale - owning your problem space end-to-end, from a crisp customer insight to a shipped product that millions of sellers rely on. Key job responsibilities - Use state-of-the-art Machine Learning and Generative AI techniques to create the next generation of the tools that empower Amazon's Selling Partners to succeed. - Design, develop and deploy highly innovative models to interact with Sellers and delight them with solutions. - Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features. - Establish scalable, efficient, automated processes for large scale data analyses, model benchmarking, model validation and model implementation. - Research and implement novel machine learning and statistical approaches. - Participate in strategic initiatives to employ the most recent advances in ML in a fast-paced, experimental environment. About the team Amazon Seller

Senior Agentic AI Engineer Yerevan posted: Posted 30+ Days Ago

Staff Software Engineer, Ads Measurement Products San Francisco, CA, US; Remote, US About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Team & Mission The Measurement Products team helps advertisers measure the incremental impact of their Pinterest campaigns and make informed investment decisions. We own and operate core measurement products including Pinterest Conversion Lift (PCL) Studies and Brand Lift Studies. We build the platform these products run on and

Applied AI Coach Georgia - Atlanta; California - Irvine; New York - New York; California - San Francisco; Colorado - Denver The Applied AI Coach is part of our new Outcome Acceleration team. Our team works with Agentforce to stay ahead of customer needs and ensure AI delivers real results. In this role, you will own the customer journey from the first sale until their AI deployment is stable and delivering value. You'll bridge the gap between building AI and realizing the business outcomes it was promised to bring. This is a hybrid role, based out of our SMB Hub, requiring an on-site presence 3 days per week. Responsibilities Design and execute success plans to measure whether AI agents are meeting their goals and matching the original business case Run four-week sprints to diagnose and resolve performance issues when AI results are lagging Lead business reviews with customer teams, demonstrating tangible value through outcome data rather than simple usage reports Track AI agent deployment and adoption weekly to ensure stability in production Required Qualifications Degree in Computer Science, Information Systems, Engineering, Data Science, or a related field 1-3 years of work or internship experience in technical roles such as data analytics, engineering, or technical support Proven ability to work directly with customers to solve problems and communicate technical concepts clearly Hands-on experience with prompt engineering, vibe-coding tools, or LLMs Strong analytical skills with the ability to interpret outcome models and prove the value of AI Clear understanding of how AI

AI Agent Engineer Bengaluru posted: Posted 16 Days Ago

Staff Analytics Engineer, Subledger Platform Remote Canada

Agentic AI Test Engineer NJ - Mount Laurel, 1800 Bishops Gate posted: Posted 30 Days Ago

Applied Scientist II, Demand Enablement, Product Analytics and Operations New York, New York, USA In this role, you will design and build intelligent multi-agent systems that automate root cause analysis for advertising campaign delivery at scale. You will architect agentic orchestration patterns where specialized sub-agents (campaign diagnostics, deal-level troubleshooting, pacing control) are invoked as composable tools by a reasoning layer that determines which subsystems to query based on the nature of the issue. You will develop hierarchical analysis frameworks that move from daily trend detection to intra-day anomaly isolation, enabling the system to pinpoint when and why delivery degraded rather than relying on static time windows. You will build self-learning feedback loops where the system identifies recurring failure signatures (auction dynamics, pacing anomalies, supply contention), updates its diagnostic knowledge as engineering teams deploy fixes, and retires stale patterns automatically. We are looking for a passionate Applied Scientist with technical expertise in LLM-based agent architectures, retrieval-augmented generation, time-series anomaly detection, and production ML systems. In addition to hands-on experience building agentic AI solutions, an ideal candidate should demonstrate the ability to translate complex distributed system behaviors into structured diagnostic reasoning, show a willingness to push the boundaries of how LLMs interact with real-time operational data, and thrive in an environment where you ship production systems that directly reduce advertiser escalation time from days to minutes. Key job responsibilities * Conduct deep data analysis to derive insights for the business, identify gaps, and uncover new opportunities. * Develop scalable and effective machine

Senior AI Engineer United States - Illinois - Abbott Park posted: Posted 2 Days Ago