AI/ML Engineer

SAP SE
Newport Beach, CA, United States
28 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Cloud Computing Code Review Continuous Delivery Continuous Integration Data Transformation Database Analysis Python (Programming Language) Performance Tuning Regression Testing SAP (Applications)
+10 more
Software Engineering System Testing Scripting Pytorch Large Language Models Multi-Agent Systems Information Technology Machine Learning Operations TensorRT Api Design

Job description

Were building specialized foundation models and AI agents that accelerate SAP customers data transformation journeys.

The agents you build will directly power SAPs Autonomous Enterprise, where AI runs core business processes end-to-end across finance, supply chain, HR, and procurement at global scale.

Youll set technical direction, define how we architect and scale multi-agent systems, and raise the engineering bar across a global team. Youll 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 youll 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 teams 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, For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

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

Requirements

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), Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Business Model, Business Processes, Business Solutions, Cloud Computing, Code Reviews, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Cost Control, Customer Acquisition, Customer/Client Research, Database Analysis, ERP (Enterprise Resource Planning), Establish Priorities, Finance, Instrumentation, Leadership, MCP - Microsoft Certified Professional, Memory Hardware, Mentoring, Precision Testing, Production Systems, Prototyping, Purchasing/Procurement, Python Programming/Scripting Language, Regression Testing, SAP, Software Design, Software Development, Supply Chain, System Test, Team Player, Technical Leadership, Test Design

About the company

At SAP, we keep it simple: you bring your best to us, and well bring out the best in you. Were builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape whats next. The work is challenging - but it matters. Youll find a place where you can be yourself, prioritize your wellbeing, and truly belong. Whats in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed., 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.

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.

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