(Junior) Knowledge Engineer (f/m/d): SAP Business AI - SAP Knowledge Graph

We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. 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. 

What you’ll do
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) are transforming Machine Learning but pose challenges in business applications due to their limited understanding of structured and unstructured business data such as business data models, business process metadata and documentation, which slows the development progress. It is SAP's mission to overcome these challenges within the realm of Business AI. Our goal is to provide Knowledge Graphs (KG) as key differentiators to address LLM challenges like hallucination and compliance and 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. 
• Support the integration of Knowledge Graphs in downstream tasks such as Generative AI applications to address hallucinations, as well as insight generation applications. 
• Assist in designing and building a large-scale Knowledge Graph using business data alongside Knowledge and Data engineering teams and stakeholders. 
• Understand and analyze requirements from domain specialists and data owners and translate those to Knowledge Graph designs. 
• Present, discuss, and explain how Knowledge Graphs can benefit business use cases, and assist in drafting new cases for the relevant stakeholders. 

What you bring

• Bachelor’s or Master’s degree in computer science, artificial intelligence, physics, mathematics or other relevant disciplines. 
• Professional experience with a background in Knowledge Graphs, and their application in a business context is a plus.   
• Knowledge of the RDF Knowledge Graph technology stack (RDF, OWL, SHACL, SPARQL) and in property graphs-based solutions (e.g., neo4j).  
• Experience in semantic / knowledge modeling 
• First experience with Knowledge Graph databases and an overview of current vendors and open-source solutions.  
• Familiarity with latest research and development trends in Knowledge Graphs, e.g. Generative AI and Large Language Models, KG generation and KG embedding approaches. 
• Data science knowledge, knowledge related to graph data structures is a plus. 
• Fluent in Python and the ability to convert your ideas into productive code. 
• 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.  

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.  

#SAPAICareers, #SAPBusinessAICareers, #SAPAIGermany

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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 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: 411746  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Graduate  | Employment Type: Regular Full Time   | Additional Locations: Walldorf or Berlin | #LI-Hybrid
 

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