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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