AI Engineer-SAP S/4 HANA & Joule
Scotts Miracle-Gro12 days ago
Remote, United StatesSenior
Base Salary
$140k - $165k/yr
Responsibilities
- Design, build, and operate Joule assistants and agents automating finance, supply chain, R&D, procurement, manufacturing, and HR workflows in S/4HANA.
- Build agentic experiences over SAP Business Data Cloud data products for retrieval-augmented generation, decision support, and action-taking use cases.
- Architect and deploy AI workflows on SAP BTP using AI Core, AI Launchpad, Generative AI Hub, HANA Cloud Vector Engine, and Build Process Automation.
- Use side-by-side extensibility, key-user tools, and standard APIs to maintain a fit-to-standard, clean-core SAP implementation.
- Translate business processes into agent capabilities, tool calls, prompts, and guardrails grounded in SAP master and transactional data.
- Define reference architecture for prompt engineering, model selection, evaluation, observability, and human-in-the-loop review.
- Implement responsible-AI controls covering data classification, PII handling, role-based access, audit trails, and enterprise policy alignment.
- Lead the AI workstream for the S/4HANA migration, including sandbox experimentation, MVPs, hypercare, and the ongoing AI delivery operating model.
- Mentor analysts, developers, and functional teams on responsible use of Joule, generative AI, and agent patterns.
- Deliver an adopted AI reference architecture, production-like Joule agents, governed BDC agent access, and repeatable evaluation and observability practices within the first 12 months.
Requirements
- At least 8 years of overall engineering experience, including at least 3 years building production AI, ML, or GenAI solutions in an enterprise setting.
- Hands-on SAP experience, preferably with SAP S/4HANA public or private cloud, fit-to-standard ERP delivery, and clean-core principles.
- Production experience with SAP BTP, specifically AI Core, AI Launchpad, and Generative AI Hub, including deploying, versioning, and monitoring models and prompts.
- Working knowledge of SAP Business Data Cloud data products, intelligent data lineage, and safe exposure of BDC data to AI agents.
- Strong software engineering fundamentals in Python and/or Node/TypeScript.
- Experience with REST, OData, GraphQL, event-driven patterns, and CI/CD.
- Practical experience with RAG, function and tool calling, agentic orchestration, evaluation, guardrails, and cost and latency optimization.
- Experience integrating SAP with non-SAP systems through SAP Integration Suite, CPI, Event Mesh, or equivalent middleware.
- Ability to work directly with business stakeholders and translate ambiguous requirements into shippable AI workflows.
- Preferred experience designing and building SAP Joule copilots, assistants, and agents.
- Preferred experience with SAP Datasphere, HANA Cloud Vector Engine, SAP Analytics Cloud, SAP Build, CAP, RAP, ABAP, ABAP Cloud, CDS views, and Fiori UX.
- Preferred experience with LangGraph, LlamaIndex, AutoGen, CrewAI, MLflow, Kubeflow, Vertex AI, Azure ML, AWS Bedrock, or SageMaker, and with bridging these tools to SAP AI Core.
- SAP S/4HANA, BTP, or AI certifications, or comparable demonstrable expertise, are preferred.
Benefits
- Base salary is incentive eligible under corporate bonus programs.
- Medical, dental, vision, wellness reimbursement, a 401K match of up to 7.5%, and a 15% company-stock discount are offered.
- Maven Family Planning benefits and up to $30,000 for adoption, fertility, and surrogacy support are available.
- Employees can participate in Employee Resource Groups and community service and volunteer programs.
- For remote roles, state-required pay thresholds may apply for candidates in Alaska, California, Colorado, Illinois, New York, Oregon, or Washington.
Tech Stack
Categories