(Senior) Researcher (f/m/d) - Knowledge Graphs and Generative AI

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. Still, the understanding of structured and unstructured business data such as business data models, business process metadata and documentation is limited in pre-trained LLMs, challenging using agents at scale and for complex tasks. It is SAP's mission to overcome this challenge within the realm of Business AI. Our goal is to provide Knowledge Graphs (KGs) as key differentiators to address LLM challenges like hallucination and compliance, as well as enable the development of the foundation models on structured data to deliver distinctive generative AI solutions to our customers.

The Role:

• Contribute pioneering technical advances to the combination of knowledge graphs and large language models, including hands-on contributions to agentic workflows.
• Enable academic research by providing Business AI relevant problem statements, frameworks and data sets.
• Keep the pulse with the research, providing insights into the latest research findings and making them comparable with internal work.
• Translate project innovations into research publications and contribute to thought leadership in large language models and Generative AI.
• Work closely with the knowledge graph team to exchange information and ensure that internal initiatives and project deliverables are aligned with community best practices.

What you bring

• PhD or Master’s degree in Computer Science, Artificial Intelligence, physics, mathematics or other relevant disciplines
• Extensive experience with Knowledge Graphs as well as large language models (e.g. graph embeddings)
• Proven experience and deep understanding of the opportunities and challenges associated with collaboration between industrial and academic research
• Candidate must have an academic background in one of the following fields: LLMs, Foundation Models, or Knowledge Graphs. This should be supported by a substantial record of related publications, including recent works, and a well-established network in these fields.
• Hands-on experience with RDF, Neo4j, TypeDB, PyG or similar technologies
• Proficiency in Python
• Experience in applying ML methods
• Ideally, professional experience with the combination of knowledge graphs and large language models in ERP domain
• Proven history of leading projects with a strategic mindset complemented by superior organizational abilities

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.