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## AI Engineer-SAP S/4 HANA & JouleApplylocations: Marysville, OH: Virtualtime type: Full timeposted on: Posted Todayjob requisition id: R25911Here at Scotts Miracle-Gro there is no such thing as a typical day. Our culture is constantly energized by new and exciting growth opportunities and at a rapid pace. Below are details on an open job. If the role interests you and you would like to be considered we encourage you to apply!**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 building with SAP Joule — copilots, assistants, and Joule agents — and integrating them with SAP business processes. -Production experience on SAP BTP, specifically AI Core, AI Launchpad, and Generative AI Hub; comfortable deploying, versioning, and monitoring models and prompts there. -Working knowledge of SAP Business Data Cloud (BDC) — data products, intelligent data lineage, and how to expose BDC data to AI agents safely. -Strong software engineering fundamentals in Python and/or Node/TypeScript; experience with REST/OData/GraphQL, event-driven patterns, and CI/CD. -Practical experience with LLM application patterns: RAG, function/tool calling, agentic orchestration, evaluation, guardrails, and cost/latency optimization. -Experience integrating SAP with non-SAP systems via SAP Integration Suite (CPI), Event Mesh, or equivalent middleware. -Demonstrated ability to work directly with business stakeholders and translate ambiguous requirements into shippable AI workflows.**Nice to have** -Experience with SAP Datasphere, HANA Cloud (including Vector Engine), and SAP Analytics Cloud. -Hands-on with SAP Build (Apps, Code, Process Automation) and CAP / RAP extensibility. -ABAP / ABAP Cloud, CDS views, and Fiori UX familiarity for embedded AI scenarios. -Experience deploying agentic frameworks (LangGraph, LlamaIndex, AutoGen, CrewAI) and evaluating them against SAP-native agent tooling. -Exposure to MLOps tooling (MLflow, Kubeflow, Vertex AI, Azure ML, AWS Bedrock/SageMaker) and how to bridge them with SAP AI Core. -SAP certifications (S/4HANA, BTP, AI) or comparable demonstrable expertise.**What success looks like in the first 12 months** -Reference architecture for AI on our S/4HANA + BTP + BDC stack is documented, reviewed, and adopted. -At least 3 production-like Joule agents are live across finance, supply chain, or commercial operations in the sandbox — with measurable cycle-time or accuracy gains. -BDC data products are exposed to agents through a governed, reusable pattern; at least one BDC-backed agent is in production-like setting. -An evaluation and observability framework is in place for every AI workflow we ship. -The team has a repeatable, fit-to-standard playbook for moving AI use cases from idea to production on SAP.The starting budgeted pay range for this role will generally fall between $140,000.00 - $164,700.00 per year. Scotts will consider various factors in determining the actual pay including your skills, qualifications, experience, and geographical location.In addition to the determined base salary, this role is also incentive eligible under our corporate bonus programs.For remote roles where the final candidate resides in Alaska, California, Colorado, Illinois, New York, Oregon or Washington, state required pay thresholds will be factored into base salary. #J-18808-Ljbffr