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

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. However, their limited ability to leverage tabular data leaves a considerable share of enterprise data untapped. It is SAP's mission to overcome this challenge within the realm of Business AI. Our goal is to adapt Foundation Models to SAP data, enabling our clients to solve their business processes more effectively. 

The Role: 

Unique opportunity to contribute to the development of a Foundation Model on structured business data   Design, develop and manage tools and data pipelines that enable the processing of tabular data at scale  Extract, clean, and analyze data from various sources, while ensuring its high quality. This includes relevant data extraction from SAP S/4HANA. The data is subsequently processed, enriched, and utilized as training and benchmark data for the Tabular Foundation Model.  In close partnership with LoB domain experts from the S/4HANA development organization, understand and interpret SAP S/4HANA data, metadata, and other development artifacts.   Extract relevant information from SAP S/4HANA for further processing and enrichment of training data for the Tabular Foundation Model.  Work closely with data scientists to share SAP S/4HANA data insights and specifics, enabling the model to be accurately tailored to S/4HANA data 

 

What you bring 

PhD or Master’s degree in Computer Science, Artificial Intelligence, or other relevant disciplines. 2+ years of related professional experience Generic understanding of SAP S/4HANA backend and data model (e.g., VDM, CDS Views, RAP, OData) as well as the Data Dictionary is required.  Proficiency in SQL and software engineering in Python   Hands-on knowledge in cloud stack (AWS, GCP, or Azure) and handling large-scale data (>1M files; >10TB volume) is a plus  Experience with data modelling, ABAP, Machine Learning and/or Knowledge Graph technologies (e.g., RDF, SPARQL) is a plus.  Strong communication, coordination 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

 

 

​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: 429545  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations: #LI-Hybrid