AI Engineer-SAP S 4 HANA & Joule

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AI Engineer — SAP S/4HANA & Joule About the role We are migrating to SAP S/4HANA and have a live sandbox ready today. We are hiring a senior AI Engineer who can stand up the AI layer of our SAP landscape from day one — building Joule assistants and agents, designing AI workflows on SAP BTP AI Core / AI Launchpad, and turning SAP Business Data Cloud (BDC) data products into intelligent, agentic experiences. This role not only addresses custom AI and automation needs that arise when core S/4HANA processes are customized, particularly where processes cross multiple platforms (e.g., SAP talking to Kinaxis) but also ensure we are fully leveraging the native AI services offered on top the clean core where applicable. You will partner with functional, data, and security leads to embed AI into core ERP processes while staying true to a fit-to-standard implementation.

What you will do: -Design, build, and operate Joule assistants and Joule agents that automate finance, supply chain, R&D, procurement, manufacturing, and HR workflows in S/4HANA. -Build agentic experiences on top of SAP Business Data Cloud (BDC) data products — turning curated data into RAG, decision-support, and action-taking agents. -Architect and deploy AI workflows on SAP BTP using AI Core, AI Launchpad, Generative AI Hub, HANA Cloud Vector Engine, and Build Process Automation. -Champion a fit-to-standard approach: extend SAP cleanly via BTP side-by-side extensibility, key-user tools, and standard APIs rather than core modification. -Partner with functional and data leads to translate business processes into agent capabilities, tool calls, prompts, and guardrails grounded in SAP master and transactional data. -Define the reference architecture for prompt engineering, model selection, evaluation, observability, and human-in-the-loop review across the SAP landscape. -Implement responsible-AI controls: data classification, PII handling, role-based access, audit trails, and alignment with SAP's AI ethics and our enterprise policies. -Lead the AI workstream of the S/4HANA migration — including sandbox experimentation, MVPs, hypercare, and the operating model for ongoing AI delivery. -Mentor analysts, developers, and functional teams on responsible use of Joule, GenAI, and agent patterns inside SAP.

Required experience (minimum 8 years) -8+ years of overall engineering experience, with at least 3 years building production AI / ML / GenAI solutions in an enterprise setting. -Hands-on experience with SAP — S/4HANA (public or private cloud preferred), including a working understanding of fit-to-standard ERP delivery and clean-core principles. -Optional - Demonstrated experience designing and