(Senior) Knowledge Engineer (f/m/d) for Enterprise Knowledge Graphs

We help the world run better

Our company culture is focused on helping our employees enable innovation by building breakthroughs together. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. Apply now!

What you`ll do: 
Summary: 
At SAP, we amplify the strength of AI technology, fusing it with our robust industry-focused data and profound process knowledge. Our vision is to infuse every SAP application with sophisticated AI capabilities, revolutionizing the way businesses operate. Large Language Models (LLMs) hold immense potential to change the way we work and develop products. They are reshaping the landscape of Machine Learning across various domains. Our goal is to combine the power of LLMs with Knowledge Graphs for business AI problems in SAP applications. 
 

The Role: 

• Unique opportunity to contribute to the development of Knowledge Graphs as a source of explicit knowledge for Generative AI use cases and for the development of a Foundation Model. 
• Design, develop, and manage the construction of large-scale Knowledge Graphs using structured business data. 
• Implement the integration of Knowledge Graphs into Generative AI applications, addressing challenges like hallucination and compliance of output. 
• Collaborate closely with Generative AI use case 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. 

What you bring: 

• PhD or Master’s degree in Computer Science, Artificial Intelligence, or other relevant disciplines. 
• Deep background in Knowledge Graphs, and their application in a business context.  
• Working proficiency in the RDF Knowledge Graph technology stack (RDF, OWL, SHACL, SPARQL) and in property graphs based solutions (e.g., Nneo4j). 
• Experience with Knowledge Graph data bases and an overview of current vendors and open source solutions. 
• Knowledge of latest research and development trends in Knowledge Graphs, esp. in relation to Generative AI and Large Language Models. 
• Solid knowledge in Artificial Intelligence and Data Science. 
• Fluent in Python. 
• Ability to advise diverse stakeholders on how to apply Enterprise Knowledge Graph to business use cases. 
• Developer experience with any SAP Application and its underlying data models is a plus. 
• 5+ years of professional experience. Strong communication and collaboration skills, with the 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. 

#SAPBusinessAICareers

We build breakthroughs together

SAP innovations help more than 400,000 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 200 million users and more than 100,000 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, we build breakthroughs, together.

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 and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide 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 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.

Requisition ID: 383587  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | #LI-Hybrid