Senior Machine Learning Engineer - Experience Generation Team

Senior/Staff Machine Learning Engineer

At 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.

The Experience Generation team at SAP accelerates the path from idea to outcome with three generative-AI services: Deep Research & Planning (strategic plans from enterprise + market data), Experience Builder (AI-forged dashboards and micro-apps), and Visual Services (commerce imagery via diffusion). Together they deliver business value across all SAP lines of business, grounded in governed enterprise data and brand standards.

Our platform blends a React/Next.js frontend, a Python + FastAPI backend orchestrating LangGraph sub-agents, and a Gardener-managed Kubernetes runtime. With Postgres, Cassandra, HANA Cloud vector engines, and SAP's Generative AI Hub for model governance, we provide an enterprise-grade substrate for controllable, scalable AI workflows.

As a Senior/Staff Machine Learning Engineer, you'll be a technical leader helping architect, scale, and harden SAP's next generation of generative AI services. You'll drive both design and implementation of ML pipelines, orchestrators, and agentic workflows—turning foundational model research into secure, production-ready enterprise solutions

Key responsibilities include:

• Architect and optimize ML-driven workflows for multi-agent orchestration (LangGraph) across DRP, Experience Builder, and Visual Services.
• Lead technical design discussions, mentor junior engineers, and set engineering standards for reliability and scale.
• Evaluate, fine-tune, and integrate foundation models (text, multimodal, diffusion) through SAP's GenAI Hub and third-party providers (e.g., Amazon Bedrock).
• Design evaluation frameworks and dashboards for quality, safety, and enterprise trust in generative outputs.
• Partner with product teams to define roadmaps and deliver features that serve Sales, Marketing, Finance, HR, and beyond.
• Collaborate with cross-functional SAP AI teams on shared infrastructure, governance, and interoperability.
• Stay at the forefront of ML/AI trends and bring best practices into the team's architecture and execution.

Ideal qualifications include:

• 6+ years of professional experience in machine learning engineering, software engineering, or applied research roles.
• Deep proficiency in Python and familiarity with Go/TypeScript; experience with distributed systems and orchestration frameworks.
• Strong background in ML/AI, including large language models, embeddings, RAG, and/or multimodal generation.
• Hands-on experience with cloud-native infrastructure (Kubernetes, AWS/Azure) and modern data stores (Postgres, Cassandra, vector DBs).
• Proven track record of delivering production AI systems at scale.
• Strong problem-solving skills and ability to balance innovation with enterprise-grade reliability.
• Experience mentoring engineers and shaping engineering culture.

At SAP, senior engineers have the chance to define architecture and strategy for some of the world's most impactful enterprise AI services. You'll shape how businesses plan, build, and visualize with AI—while working with a collaborative team, trusted cloud platforms, and the latest foundation models. Your leadership will ensure SAP's AI innovations scale securely, reliably, and responsibly.