S

Scotts Miracle-Gro

Develops lawn and garden products.

AI Engineer - SAP S/4HANA, Joule

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeMarysville, OH, USA$140k - $164.7k /yrIn-person

About the Job

Requirements

  • At least 8 years of overall engineering experience, including at least 3 years building production AI, machine learning, or generative AI solutions in an enterprise setting.
  • Hands-on experience with SAP S/4HANA, public or private cloud preferred, including an understanding of fit-to-standard ERP delivery and clean-core principles.
  • Demonstrated experience designing and building with SAP Joule, including copilots, assistants, and Joule agents, and integrating them with SAP business processes is optional.
  • Production experience on 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, including data products, intelligent data lineage, and safely exposing data to AI agents.
  • Strong software engineering fundamentals in Python and/or Node/TypeScript; experience with REST, OData, or GraphQL, event-driven patterns, and continuous integration and continuous delivery.
  • Practical experience with large language model application patterns, including retrieval-augmented generation, function or 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.

Responsibilities

  • Design, build, and operate Joule assistants and agents that automate finance, supply chain, research and development, procurement, manufacturing, and human resources workflows in S/4HANA.
  • Build agentic experiences on SAP Business Data Cloud data products, turning curated data into retrieval-augmented generation, 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 by extending SAP through BTP side-by-side extensibility, key-user tools, and standard APIs instead of modifying the core.
  • 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, including data classification, personally identifiable information handling, role-based access, audit trails, and alignment with SAP AI ethics and enterprise policies.
  • Lead the AI workstream of the S/4HANA migration, including sandbox experimentation, minimum viable products, hypercare, and the operating model for ongoing AI delivery.
  • Mentor analysts, developers, and functional teams on responsible use of Joule, generative AI, and agent patterns inside SAP.
  • Document, review, and establish adoption of the reference architecture for AI on the S/4HANA, BTP, and BDC stack.
  • Bring at least three production-like Joule agents live across finance, supply chain, or commercial operations in the sandbox, with measurable cycle-time or accuracy gains.
  • Establish a governed, reusable pattern for exposing BDC data products to agents and bring at least one BDC-backed agent into a production-like setting.
  • Put an evaluation and observability framework in place for every AI workflow delivered.
  • Establish a repeatable fit-to-standard playbook for moving AI use cases from idea to production on SAP.

Desired Qualifications

  • Experience with SAP Datasphere, HANA Cloud including Vector Engine, and SAP Analytics Cloud.
  • Hands-on experience with SAP Build Apps, SAP Build Code, SAP Build Process Automation, and CAP/RAP extensibility.
  • Familiarity with ABAP/ABAP Cloud, CDS views, and Fiori UX for embedded AI scenarios.
  • Experience deploying agentic frameworks such as LangGraph, LlamaIndex, AutoGen, or CrewAI and evaluating them against SAP-native agent tooling.
  • Exposure to MLOps tooling such as MLflow, Kubeflow, Vertex AI, Azure ML, AWS Bedrock, or SageMaker and experience bridging them with SAP AI Core.
  • SAP certifications in S/4HANA, BTP, or AI, or comparable demonstrable expertise.

About the Company

Scotts Miracle-Gro

Develops lawn and garden products.

ScottsMiracle-Gro makes lawn and garden products that help people grow and take care of plants on their own property. Its product lines include fertilizers, soils, grass and plant care items, distributed through its Hawthorne Gardening Company subsidiary as needed by professional and consumer markets. The products work by providing nutrients, improving soil, and supporting plant health so lawns and gardens thrive with regular use. The company distinguishes itself through a long history (over 150 years), a focus on community and associates, and a mission called GroMoreGood that guides corporate responsibility and sustainability alongside its brands. Its goal is to help people grow good on their own piece of the Earth—supporting communities, customers, and the planet while expanding opportunities for its employees.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Marysville, OH
Founded
1868

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