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Chief Machine Learning Engineer

SAP
Palo Alto, United Statesfull_timeVerifiedPosted 4 Nov 2025
💰 $609,200/yr($274,300/yr$609,200/yr)

About the role

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. 

 

We are seeking a highly skilled and driven Chief Machine Learning Expert to design and deliver intelligent, distributed systems that power large-scale AI and large language model (LLM) capabilities. In this role, you will shape cutting-edge infrastructure, mentor world-class engineers, and bring bold ideas from concept to production—driving meaningful impact across SAP’s global ecosystem.

 

Description 

As a key member of our fast-moving team, you will have the unique opportunity to define and execute the vision for AI and LLM-based systems at scale. We are looking for someone with exceptional programming expertise, deep distributed systems knowledge, and the curiosity and grit to tackle complex, ambiguous challenges. You will work across a diverse technology stack, collaborate closely with engineers and product leaders, and help set the technical direction for AI initiatives. 

 

Key Responsibilities 

  • Architect, design, and implement production systems in Go, Java and Python 

  • Demonstrated expertise in designing and scaling Generative AI platforms and applications, leveraging agentic frameworks and orchestration technologies such as LangGraph, MCP, or equivalent, to deliver enterprise-grade AI solutions. 

  • Deep knowledge of transformer architectures and machine learning lifecycles, with proven experience leading large-scale batch inference pipelines on GPU clusters.  

  • Extensive experience leveraging modern distributed technologies such as Kafka, PostgreSQL, SAP HANA, gRPC, AWS, Kubernetes, and Docker to build scalable, resilient, and high-performance AI and data platforms. 

  • Mentor and guide engineers from junior to senior levels, fostering technical excellence 

  • Partner with cross-functional teams to translate business goals into scalable, high-impact solutions 

 

Minimum Qualifications 

  • Bachelor’s degree in Computer Science, Mathematics, Physics, or related field, with strong programming expertise 

  • 10+ years of software engineering experience, with a track record of delivering complex systems 

  • Proven ability to work independently and lead initiatives from idea to deployment 

  • Hands-on experience with AI/ML and/or LLM systems in a production environment 

  • Expertise in distributed systems design and implementation 

  • Familiarity with CI/CD pipelines and modern development practices 

  • Strong English communication skills and ability to thrive in global, multicultural teams 

 

Preferred Qualifications 

  • Open-source contributions or significant personal technical projects 

  • Experience integrating AI capabilities into large-scale enterprise products 

  • Strong problem-solving skills and an iterative, results-oriented mindset

 

Why Join Us 

  • Build cutting-edge AI and LLM systems used across SAP’s global platforms 

  • Work in a high-autonomy, trust-based environment without unnecessary bureaucracy 

  • Collaborate with some of the best engineers in the industry in a fast-paced, impact-driven team 

  • Take ownership of projects that directly influence SAP’s AI strategy and product capabilities 

 

#SAPAICareers #SAPAIAPP

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

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