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SAP
Senior AI/ML Engineer - Agentic AI
Career Insights for Machine Learning Engineer
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Based on California data
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What they do
A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
$168,439 / year median in California
Job Description
We help the world run betterAt 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. Foundation Model Team • Newport Beach, CA Summary We're building specialized foundation models and AI agents that accelerate SAP customers' data transformation journeys. The agents you build will directly power SAP's Autonomous Enterprise, where AI runs core business processes end-to-end across finance, supply chain, HR, and procurement at global scale. You'll set technical direction, define how we architect and scale multi-agent systems, and raise the engineering bar across a global team. You'll work directly with pretraining and fine-tuning team leads in Europe, India, and early-adopter customers. We want someone who has shipped agentic systems in production and knows where they break. What you'll do Architect and lead multi-agent systems: design, orchestration patterns, failure modes, memory, planning, and human-in-the-loop Own the path from prototype to production: containerization, guardrails, cost and latency optimization, scalable serving Define the team's evaluation strategy: offline/online harnesses, trajectory quality, tool-call accuracy, regression testing, CI/CD eval gates Lead instrumentation and observability: tracing, span capture, automated scoring, closing the trace → eval → fix loop Drive tool integration architecture via MCP across multiple product teams Mentor junior and mid-level engineers through code and architecture reviews; set engineering standards What you bring
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Education:
BS, MS, or PhD in Computer Science, ML, or a related field.Experience:
6+ years building and shipping ML systems, with 3+ years hands-on with LLMs and agents in production. Core technical skills Expert Python; strong fundamentals: system design, testing, modularity, async, API design PyTorch; working knowledge of fine-tuning and PEFT methods (LoRA, QLoRA) LLM application development: prompting, structured outputs, tool calling, context management Inference optimization: vLLM, TensorRT-LLM, quantization (int8, int4, GPTQ, AWQ) Human-in-the-loop annotation workflows at scale Agent frameworks and orchestration (production experience with at least three) LangGraph / LangChain CrewAI, AutoGen/AG2, or equivalent MCP (Model Context Protocol) Coding agents: Claude Code, OpenCode, or similar Evaluation and observability (production experience with at least two) Langfuse, LangSmith, Arize, or equivalent LLM-as-judge evaluators, CI/CD eval gates Leadership Demonstrated track record mentoring engineers and raising team technical quality Drives decisions in ambiguous, fast-moving environments Writes design docs that earn buy-in across teams Nice to have Continued pretraining or fine-tuning pipelines (SFT, DPO, RLHF) Meet your team The Foundation Model team is part of the Generative AI foundation within Business AI at SAP. We build domain-specialized foundation models on SAP business data through continued pretraining and fine-tuning, and we build the agentic layer that brings them into SAP products. Bring out your bestSAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusionSAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to
Recruiting Operations Team:
Careers@sap.com.For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.