(Senior) Data / Knowledge Engineers (f/m/d): Knowledge Graphs and Generative AI

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

At SAP, we’re integrating state-of-the-art AI technology with our industry-specific data and deep process knowledge to innovate across SAP products & services. Agentic AI based on Large Language Models (LLMs) is transforming how users interact with their business applications. The understanding of structured and unstructured business data is limited in pre‑trained LLMs, challenging agents at scale. Our mission is to overcome this challenge within Business AI. Our goal is to provide Knowledge Graphs (KGs) as key differentiators to address LLM challenges like hallucination and compliance, and to enable foundation models on structured data to deliver distinctive generative AI solutions.

The Role

• Unique opportunity to contribute to the development of Knowledge Graphs as a source of explicit knowledge across multiple SAP domains.
• Integrate Knowledge Graphs in downstream tasks such as Generative AI applications to address hallucinations, as well as insight generation applications.
• Design, develop, and manage the construction of large‑scale Knowledge Graphs using business data (structured and unstructured) alongside Knowledge and Data engineering teams and stakeholders.
• Collaborate closely with domain specialists and data owners to understand requirements on Knowledge Graph modeling and provisioning.
• Make critical design decisions regarding the selection and implementation of underlying technologies.
• Contribute to thought leadership in an entirely new field of Generative AI combined with Knowledge Graphs.
• Present, discuss, and explain how Knowledge Graphs can benefit business use cases, and proactively propose new cases to relevant stakeholders.

What you bring

• PhD or Master’s degree in computer science, artificial intelligence, physics, mathematics or related disciplines.
• 5+ years of professional experience with a deep background in Knowledge Graphs and their application in a business context.
• Experience in semantic/knowledge modeling.
• Working proficiency in the RDF Knowledge Graph stack (RDF, OWL, SHACL, SPARQL) and property‑graph solutions (e.g., Neo4j).
• Experience mapping business operations into clear data models and organized schemas.
• Experience with Enterprise Knowledge Graph implementations and architecture.
• Knowledge of latest research and development trends in Knowledge Graphs, e.g., Generative AI, LLMs, KG generation and embedding approaches.
• Solid knowledge in AI and data science, especially graph‑based approaches.
• Hands‑on Data Engineering experience.
• Fluent in Python and able to turn ideas into productive code.
• Ability to advise diverse stakeholders on applying an enterprise Knowledge Graph to business use cases.
• Developer experience with any SAP application and its data models is a plus.
• Strong communication and collaboration skills, with ability to work effectively in cross‑cultural teams.

Meet your team

SAP’s AI organization is dedicated to seamlessly infusing AI into all enterprise applications, enabling customers, partners, and developers to enhance business processes and generate remarkable business value. Join our international AI team where innovation thrives, opportunities for personal development abound, and exceptional colleagues collaborate globally.

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