2 months ago
Columbus, OH, USAStaff+
Responsibilities
- Own the design, development, deployment, and delivery leadership of production-grade agentic AI solutions for supply planning and manufacturing.
- Architect multi-agent systems using orchestrator-executor patterns, tool calling, memory management, agent coordination, MCP, and agentic design patterns.
- Build generative AI solutions including RAG knowledge agents, forecasting and capacity-planning decision support, document intelligence, and Microsoft Copilot agents.
- Integrate enterprise data sources and build MCP servers or clients to expose databases, APIs, SharePoint, and ERP data as structured agent context.
- Develop Azure Databricks transformations and feature work using PySpark, SQL, Delta tables, notebooks, and Workflows.
- Build Power BI reports and semantic models for AI grounding data and executive dashboards.
- Define AI governance covering prompt versioning, tool auditing, evaluations, observability, logging, safety guardrails, and human-in-the-loop workflows.
- Partner with supply chain, demand planning, process engineering, maintenance, and plant stakeholders to identify and deliver AI use cases.
- Own supply chain AI metrics alignment and mentor analysts and engineers on agentic AI design and delivery practices.
Requirements
- A master's degree in mathematics, computer science, data science, information systems, engineering, or a related field with 5+ years of relevant analytics or AI experience, or a bachelor's degree in chemical, industrial, computer science, or a related field with 8+ years of relevant experience.
- Hands-on experience building or consuming MCP servers and clients and exposing enterprise data sources as MCP tools.
- Experience designing and implementing multi-agent architectures with Azure AI Agent Service, AutoGen, Semantic Kernel, LangChain, or LangGraph.
- Strong Python engineering skills for production AI agents and pipelines, including REST API integration, prompt versioning, evaluation frameworks, and observability.
- Hands-on experience with at least two of Azure AI Foundry, Microsoft Copilot Studio, Microsoft 365 Copilot extensibility, or Microsoft Power BI.
- Strong proficiency in Databricks, Python, SQL, Delta Lake, PySpark, and notebooks.
- Strong functional knowledge of supply planning or manufacturing, including areas such as S&OP, inventory, order management, maintenance, capacity planning, or OEE.
- Experience with SAP ECC or S/4HANA supply chain and manufacturing modules is required.
- Ability to translate business problems into agentic AI solutions and communicate with technical and executive audiences.
- Preferred qualifications include production AI agent deployment, knowledge graphs or Neo4j, Palantir Foundry, Azure ML, MLflow, Databricks Asset Bundles, Docker, Git, and operational KPI frameworks.
Benefits
- The role is US remote and based in the United States, with the title specifying Columbus, Ohio.
- Employment is subject to successful completion of a drug test and background investigation, with possible periodic background checks under CFATS or related regulations.
- Hexion is an equal opportunity and affirmative action employer.
Categories
About Hexion
Hexion is a Columbus, Ohio–based, privately held chemical manufacturer that supplies adhesives, epoxy resins, and other performance materials to industrial customers in construction, furniture, energy, and automotive markets. It sells specialty resins and binders with technical support, and also develops an industrial AI platform spanning connectivity, edge, and cloud to improve manufacturing operations. The company operates globally.