(Senior) Researcher (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. 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. 

 
#SAPBusinessAICareers #LI-KH1

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 and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.  

We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.

 

Successful candidates might be required to undergo a background verification with an external vendor.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Applications from disabled individuals are welcome. Applicants must hold a disability certificate, and please specify the type of disability in the resume. ( 歡迎身心障礙障人士投遞履歷、需持有身心障礙手冊 、履歷表請註明是何種類別之身心障礙)

 

AI Usage in the Recruitment Process

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Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 442803  | Work Area: Software-Research  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations: Munich (Garching) or Berlin | #LI-Hybrid