SAP
The role involves building and scaling SAP's semantic and contextual foundation for AI agents, designing enterprise ontologies, and developing AI capabilities such as RAG pipelines, embeddings, and generative models. The scientist will work across cloud and data platforms, collaborate with product and engineering teams, and ensure AI solutions are reliable and production‑ready for finance and spend domains.
Headquarters
Walldorf, Baden-Württemberg, Germany
Company Size
10001+ employees
Founded
1972
SAP is a global enterprise software and technology company that helps organizations run core business processes — finance, supply chain, HR, customer experience and analytics — via integrated cloud and on‑premise applications. Its flagship offerings include SAP S/4HANA, the SAP Business Technology Platform, and cloud solutions for ERP, CRM, procurement, workforce management and analytics, along with industry-specific apps and a large partner ecosystem. SAP emphasizes enabling intelligent, sustainable enterprises by combining data management, AI, automation and sustainability services to improve decision‑making and operational efficiency. Companies choose SAP for its breadth of functionality, global scale, industry depth and compliance capabilities.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for SAP.
SAP didn’t post a salary, so this is our estimate from similar listings.
23% below the average for this role
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