Machine Learning Engineer Manager

We help the world run better

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.

As part of SAP’s Application AI organization, you’ll lead a team at the forefront of enterprise AI innovation. You’ll shape how SAP’s customers plan, build, and visualize with generative AI—across Sales, Marketing, Finance, HR, and beyond. By joining Experience Generation, you’ll have the opportunity to lead talented engineers, collaborate with researchers and product visionaries, and deliver technologies that redefine how businesses operate.

What You’ll Do

As an Engineering Manager, you will lead a team of talented engineers building the next generation of SAP’s generative-AI services. You’ll provide technical and people leadership, ensuring our projects deliver both innovation and enterprise reliability. Working closely with product managers, researchers, and partner teams across SAP, you’ll shape roadmaps, remove execution barriers, and build a high-performing engineering culture.

Key Responsibilities

Lead, mentor, and grow a cross-functional team of engineers (junior to senior) delivering production-grade AI workflows.

Drive technical execution for multi-agent orchestration (LangGraph) across DRP, Experience Builder, and Visual Services.

Partner with product leadership to define roadmaps that balance innovation with enterprise-grade scalability, governance, and security.

Ensure engineering excellence through code reviews, architectural oversight, and best practices in testing, deployment, and monitoring.

Foster a culture of collaboration, continuous learning, and experimentation within the team.

Coordinate with SAP AI platform teams (e.g., GenAI Hub, BTP, HANA Cloud) to align on shared infrastructure and governance standards.

Translate cutting-edge research (e.g., LLMs, RAG, diffusion, multimodal) into scalable, trusted enterprise solutions.

Manage delivery timelines, resource allocation, and stakeholder communication.

What You Bring :

8+ years of professional experience in software or machine learning engineering, including at least 2+ years in engineering management or technical leadership roles.

Strong technical background in ML / AI (LLMs, embeddings, multimodal generation, or agentic systems).

Proficiency in Python or another language such as Go or TypeScript, and understanding of distributed systems is highly desirable.

Experience leading teams working with cloud-native infrastructure (Kubernetes, AWS / Azure), data platforms (Postgres, Cassandra, vector databases), and modern frontend frameworks (React / Next.js).

Proven ability to deliver production AI systems at scale with attention to quality, reliability, and security.

Demonstrated success in mentoring engineers, fostering team growth, and creating an inclusive, high-performance culture.

Excellent communication and stakeholder management skills, with experience working in cross-functional, global teams.

Meet Your Team :

The Experience Generation team at SAP is transforming how enterprises move from an idea to a production-ready outcome. Our trio of generative-AI services— Deep Research & Planning ,  Experience Builder , and  Visual Services —empower business users to create strategic plans, role-aware micro-apps, and branded commerce imagery in minutes. Every output remains anchored to governed enterprise data and standards, ensuring both agility and trust.

Our platform combines a React / Next.js front end, a Python + FastAPI backend orchestrating LangGraph sub-agents, and Gardener-managed Kubernetes for scale. Data persistence spans Postgres, Cassandra, and HANA Cloud’s new vector engine, with SAP’s Generative AI Hub providing foundation model choice and governance. Together, these systems deliver an enterprise-grade substrate for controllable, scalable AI workflows across all SAP lines of business.

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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 :

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,  gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

AI Usage in the Recruitment Process

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.

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