Senior AI/ML Engineer - Agentic AI

SAP SE; Newport Beach (CA); On-site; USD 131,000 - 271,600; Full time

Job summary

SAP is building specialized foundation models and AI agents to accelerate data transformation for SAP customers worldwide. The Foundation Model team develops domain-specific models and the agentic layer that integrates them into SAP products.

You will lead multi-agent system architecture, production deployment, tooling, observability, and mentorship across global teams in Europe, India, and the US, focusing on production-grade ML systems.

Qualifications

• Education: BS, MS, or PhD in Computer Science, ML, or a related field.
• 6+ years building and shipping ML systems, with 3+ years hands-on with LLMs and agents in production.

Responsibilities

• 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.

Skills

Multi-agent systems

LLMs production

PyTorch

LangChain

CI/CD

Observability

Mentoring

Code reviews

Tool integration

Education

BS/MS/PhD in CS/ML

Tools

LangGraph/LangChain

Langfuse

CrewAI

AutoGen/AG2

Job description

Summary

We'rebuilding 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 atglobalscale.

You'llset technical direction, define how we architect and scale multi-agent systems, and raise the engineering bar across a global team.You'llwork 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.

Whatyou'lldo

• 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

• 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

• PyTorch; working knowledge of fine-tuning and PEFT methods (LoRA,QLoRA)
• LLM application development: prompting, structured outputs, tool calling, context management
• 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
• 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

• Demonstratedtrack recordmentoring engineers and raising team technical quality
• Drives decisions in ambiguous, fast-moving environments
• Writes design docs that earn buy-in acrossteams

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 best

SAP 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 inclusion

SAP’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.

Qualifications and Eligibility

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.

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: [e-mail].

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.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Employment Type: Regular Full Time

Expected Travel: 0 - 10%

Work Area: Software-Design and Development

Career Status: Professional

Additional Locations: #LI-Hybrid

Location: Newport Beach, CA, US, 92660

Compensation Range Transparency: SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step towards demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted annual combined range for this position is 131000-271600USD .The actual amount to be offered to the successful candidatewill be within that range, dependent upon the key aspects of each case which may include education, skills,experience, scope ofthe role, location, etc. as determinedthrough theselection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits .