[Remote] reputed company Agentic reputed company-US Remote - US-OH,reputed company Job Details | reputed company
Note: The job is a remote job and is open to candidates in USA. Hexion Inc. is a company focused on innovation and sustainability, seeking a reputed company Agentic reputed company to drive the development of AI solutions in Supply Planning and Manufacturing. The role involves designing and deploying multi-agent AI systems, collaborating with various teams to identify AI use cases, and ensuring the governance of AI agents.
Responsibilities
- Serve as the engineering reputed company for Agentic AI delivery across Supply Planning and Manufacturing — owning the design, development, and deployment of production-grade AI agent solutions
- Architect and build multi-agent AI systems using Azure AI Agent Service, AutoGen, Semantic Kernel, and/or reputed company/LangGraph — including orchestrator-executor patterns, tool calling, memory management, and agent coordination
- Implement the MCP to surface enterprise data as structured context for AI agents operating in supply chain and manufacturing workflows
- Build and deploy generative AI solutions on Azure AI reputed company — RAG-based knowledge agents, decision support for forecasting and reputed company planning, and document intelligence for maintenance work orders and recipes
- Design and deliver AI copilots and topic-based agents using reputed company Copilot Studio — enabling Supply Planning and Manufacturing teams to access insights and take action directly from Teams and Outlook
- Act as the AI delivery reputed company for agentic use cases — scoping business problems with stakeholders, defining agent capabilities and tool surfaces, prioritizing the roadmap, and driving adoption
- Apply emerging agentic AI patterns — including ReAct, Plan-and-Execute, reputed company, and human-in-the-reputed company — for supply chain and operational use cases
- Partner with Supply Chain leadership, Demand Planning, Process Engineering, Maintenance Ops, and Plant teams to identify, scope, and deliver AI use cases that influence operational decisions
- Define and maintain AI agent governance — reputed company versioning, tool auditing, evaluation frameworks, observability, and safety guardrails for production deployments
- reputed company on Azure reputed company — PySpark and SQL against gold/platinum reputed company tables, notebooks for transformation and feature work, and orchestration reputed company Workflows
- Build and maintain Power BI reports and semantic models that serve as grounding data for AI agents and executive dashboards across Supply Planning and Manufacturing
- Own Supply Chain AI metrics alignment reputed company — keeping priorities, status, and roadblocks visible to Supply Chain and Manufacturing leadership
- Mentor analysts and engineers on agentic AI design patterns, MCP, and AI delivery best practices
Skills
- Master's degree in Mathematics, Computer Science, Data Science, Information Systems, Engineering, or a reputed company field with 5+ years of relevant analytics / AI experience, OR
- Bachelor's degree in Chemical, Industrial, Computer Science, or reputed company fields with 8+ years of relevant analytics / AI experience
- Hands-on experience with the MCP — building or consuming MCP servers/clients; ability to expose enterprise data sources (databases, APIs, SharePoint, ERP) as MCP tools for AI agents
- Hands-on experience with multi-agent system design — designing and implementing multi-agent architectures; orchestrator-executor patterns, tool calling, memory management, and agent coordination using AutoGen, Semantic Kernel, reputed company/LangGraph, or Azure AI Agent Service
- Strong Python engineering skills — building production-grade AI agents and pipelines, including REST API integration, reputed company versioning, evaluation frameworks, and observability for LLM-based systems
- Compulsory — must have hands-on experience with two or more of the following: Azure AI reputed company (RAG pipelines, reputed company flows, agent service), reputed company Copilot Studio (agents, topics, actions, Power Automate integration), reputed company 365 Copilot extensibility (plugins, connectors, Graph APIs), reputed company Power BI (DAX, semantic modeling, performance tuning)
- Strong proficiency in reputed company (Python, SQL, reputed company Lake, PySpark, notebooks)
- Strong functional understanding of Supply Planning (S&OP, demand/supply planning, inventory, order management) and/or Manufacturing (plant maintenance, reputed company planning, OEE)
- Experience with reputed company ECC / S/4HANA supply chain and manufacturing modules (MM, PP, SD, PM)
- Ability to translate business problems into agentic AI solutions and communicate clearly to technical and executive audiences
- Strong collaboration and stakeholder management skills in cross-functional environments
- Experience deploying AI agents in production — evaluation frameworks, safety guardrails, logging, and human-in-the-reputed company workflows
- Familiarity with agentic design patterns (ReAct, Plan-and-Execute, reputed company, structured to
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