SAP

Senior AI/ML Engineer - Agentic AI

SAP$131K — $271K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BS, MS, or PhD in Computer Science, ML, or a related field
  • 6+ years building and shipping ML systems; 3+ years hands-on with LLMs and agents in production
  • Expert in Python with strong fundamentals: system design, testing, modularity
  • Proficient in PyTorch; working knowledge of fine-tuning and PEFT methods
  • Experience with human-in-the-loop annotation workflows at scale
  • Production experience with at least three agent frameworks such as LangGraph or CrewAI
  • Demonstrated track record in mentoring engineers and driving technical quality

Responsibilities

  • Architect and lead the design of multi-agent systems including orchestration and failure modes
  • Manage the transition from prototype to production, focusing on optimization and scalability
  • Define and implement the team's evaluation strategies utilizing offline/online harnesses
  • Lead instrumentation efforts to enhance observability and continuous evaluation processes
  • Drive integration architecture for tools across multiple product teams
  • Mentor junior and mid-level engineers through code and architectural reviews
  • Establish and promote engineering standards across the team

Benefits

  • Opportunity to work with cutting-edge AI technology
  • Collaboration with international teams and early-adopter customers
  • Mentorship opportunities to guide the next generation of engineers
  • Engagement in a role that influences the direction of AI within SAP
  • Flexible work environment with hybrid options
  • Potential for professional development and continuous learning within a dynamic field
Full Job Description
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

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.

Requisition ID: 457862 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid

Requisition ID: 457862

Posted Date: Jul 29, 2026

Work Area: Software-Design and Development

Career Status: Professional

Employment Type: Regular Full Time

Expected Travel: 0 - 10%

Location:

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