Senior Data and Knowledge Engineer | (Senior) Data / Knowledge Engineers (f/m/d): Knowledge Graphs and Generative AI
SAP
Job Summary
As a (Senior) Data / Knowledge Engineer at SAP, you will play a pivotal role in integrating state-of-the-art AI technology with industry-specific business data. Your primary focus will be developing large-scale Knowledge Graphs (KGs) to serve as a source of explicit knowledge across multiple SAP domains. You will work to address common Large Language Model (LLM) challenges, such as hallucinations and compliance, by combining Generative AI with structured data models. Day-to-day, you will design and manage KG construction, collaborate with domain specialists to model business operations, and make critical technology stack decisions. This role is unique because it sits at the intersection of applied research and product development, offering the chance to contribute to thought leadership in the emerging field of Agentic AI. You will be part of an international team dedicated to infusing AI into enterprise applications, providing a high-impact environment with constant learning opportunities and a focus on professional growth.
Required Skills
Education
PhD or Master’s degree in Computer Science, Artificial Intelligence, Physics, Mathematics, or other relevant disciplines.
Experience
- 5+ years of professional experience with a deep background in Knowledge Graphs and their business applications
- Professional experience in semantic and knowledge modeling
- Proven experience mapping business operations into data models and organized schemas
- Experience with Enterprise Knowledge Graph implementations and vendor ecosystems
- Experience in Data Engineering with a hands-on approach to solving data challenges
- Experience in a research environment (PhD or industry lab) is preferred
Languages
Additional
- Location: Munich (Garching) or Berlin. Work model: Hybrid. Travel: 0 - 10%. Experience with SAP Applications and underlying data models is a plus.
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