Senior Applied AI and Data Scientist (f/m/d) - SAP Knowledge Graph

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 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 AI applications based on our SAP Knowledge Graph
• Design and implement AI-based solutions with Large Language Models, neural networks and other machine learning methods.
• Conduct experiments and perform rigorous evaluations to measure the performance and effectiveness of the developed models and solutions end-to-end.
• Interact with stakeholders across different lines of business (LoB) at SAP, understand and interpret their requirements, draft and explain solutions and support along the whole lifecycle.
• Guide junior project members or students in projects and theses.
• Stay up to date with the latest advancements in the field of Deep Learning, Foundational Models, and Generative AI.
• Contribute to thought leadership using Generative AI and Knowledge Graphs in the business contexts.
  
  

What you bring

• Bachelor's or master’s degree in computer science, Artificial Intelligence, physics, mathematics, or other relevant disciplines. PhD is a plus.
• 5+ years of related professional experience incl. hands-on experience with Machine Learning in a business context.
• Deep understanding of Machine Learning algorithms and techniques, experience with neural networks such as Large Language Models or transformer models including their application in a business context.
• Deep proficiency in Python and experience with ML libraries such as PyTorch, Langchain, Huggingface, or similar.
• Experience with Knowledge Graphs, including graph machine learning, and related technologies (e.g., RDF, SPARQL, property graphs, cypher) is a plus.
• Experience in the ERP or CRM domain is a plus.
• Curiosity and interest to experiment and adopt and implement new technologies and ideas.
• Strong communication, collaboration and leadership skills, experience with agile methodology and an ability to work effectively in distributed, 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

​

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 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.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines 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: 451913  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations: Walldorf | #LI-Hybrid


​