SAP, the Walldorf-based enterprise applications vendor, is hiring for an AI agenda that is concrete rather than aspirational: RAG pipelines, vector databases, enterprise ontologies and a context engine for its AI agents dominate job posts. Adoption of RAG and AIOps alongside AWS, Azure and GCP points to multi-cloud delivery of AI services. Hiring is decelerating and skews senior, with engineering and sales leading.
Notable leadership hires: Solution Account Lead, Head of Government Affairs
SAP is a public company founded in 1972 and headquartered in Walldorf, Germany, with more than 10,000 employees. It sells enterprise software covering finance, procurement, supply chain, HR and customer experience, including ERP, business intelligence and planning. Its portfolio spans S/4HANA, Ariba, Fieldglass, SuccessFactors, Signavio, LeanIX and WalkMe, delivered on AWS, Azure and GCP through programs such as RISE with SAP. The company is building AI assistants and agents into its applications. It hires across more than two dozen countries spanning Europe, the Americas, Asia-Pacific, the Middle East and Africa.
SAP's stack includes Java, ABAP, TypeScript, Python, Spring Boot, PyTorch and TensorFlow, running on AWS, Azure and GCP, plus SQL Server, Sybase and security tools like Tenable and Qualys.
Job posts point to RAG pipelines with vector databases, a context engine for SAP AI agents, enterprise ontologies and semantic models, and Business Data Cloud platform capabilities.
SAP hires in Germany, the United States, India, Spain, the Philippines, Japan, China, Singapore, Canada, South Africa, Saudi Arabia, Australia and many more European and Asian markets.
Other companies in the same industry, closest in size
SAP's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
