Senior ML Research Engineer & Architect- SAP-RPT family (f/m/d)

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. 

 

What you`ll do: 

 

As Senior ML Research Engineer & Architecture Lead for the SAP-RPT model family, you will be a key driver for translating frontier AI research into enterprise-grade services and products. Bridging the gap between foundation model experimentation and robust technical execution, you will ensure our models are architected for maximum efficiency and optimized for the unique demands of high-performance GPU infrastructure. You will bring very profound Python expertise to the team, contributing to the development of the sophisticated data and benchmarking pipelines that validate the excellence of our model artifacts. 

 

In your role as an architect, you will act as the primary expert voice for the SAP-RPT family, translating complex model requirements into clear technical specifications for our interfacing deployment partners. Your focus is on the deep-stack optimization and architectural integrity of the model itself, ensuring it is perfectly primed for integration into the broader SAP ecosystem. This is the ideal role for a highly focused, ambitious individual who balances research-driven implementation with architectural foresight, and a unique opportunity to shape one of the very few leading foundation models of European origin.  

 

The Role: 

 

• Serve as the architectural voice for the SAP-RPT model family, actively shaping cross-functional architectural decisions to ensure research breakthroughs translate into scalable, ecosystem-ready solutions. 

• Drive the transition of research prototypes into production-ready code and containerized artifacts, defining robust API specifications and implementing efficient inference pipelines to ensure maximum runtime efficiency. 

• Develop and maintain sophisticated benchmarking and data pipelines to rigorously validate the technical excellence of our foundation models. 

• Ensure high-quality Python software engineering standards and architectural integrity to produce robust model artifacts. 

 

What you bring: 

 

• Master's degree in Computer Science, Artificial Intelligence, or other relevant disciplines. PhD is a plus. 

• At least 5 years of professional experience in Python software engineering and the architectural design of complex AI systems.