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

Date: 03/05/2026
Company: SAP

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:

- 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 various domain specialists and data owners to understand their requirements on Knowledge Graph modeling and Knowledge Graph 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, as well as proactively propose new cases to relevant stakeholders.
- Work in an applied research environment, contributing to strategic topics with medium- to long-term impact.


What you bring:

- PhD or Master’s degree in computer science, artificial intelligence, physics, mathematics or other relevant 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 technology stack (RDF, OWL, SHACL, SPARQL) and in property graphs-based solutions (e.g., neo4j).
- Experience mapping business operations into clear data models and organized schemas.
- Experience with Enterprise Knowledge Graph implementations and architecture, as well as knowledge of the current vendor ecosystem and open-source triple stores.
- Knowledge of latest research and development trends in Knowledge Graphs, e.g. Generative AI and Large Language Models, KG generation and KG embedding approaches.
- Solid knowledge in Artificial Intelligence and data science, more specifically graph based approaches.
- Experience in Data Engineering with a hands-on approach to solving data challenges.
- Fluent in Python and the ability to convert your ideas into productive code.
- Ability to advise diverse stakeholders on how to apply an enterprise Knowledge Graph to business use cases.
- Developer experience with any SAP Application and its underlying data models is a plus.
- Strong communication and collaboration skills, with the ability to work effectively in cross-cultural teams.
- Experience in a research environment, either during a PhD oder in an industry lab, is a plus.


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

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.

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


AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to ourGuidelines for Ethical Usage of AI in the Recruiting Process .

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

Requisition ID: 442802  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations: Munich (Garching) or Berlin | #LI-Hybrid

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