Lead Agentic AI Engineer

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🕒 Maio 27

🏈 Ohio – Remoto

🏈 Ohio – Remote

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

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Hexion Inc.

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

🚀 Aeroespacial

Chemical • Aerospace • Construction

A Hexion Inc. é líder global em tecnologias de resinas e soluções químicas. A empresa é especializada na produção de produtos químicos e materiais especiais utilizados em diversas indústrias, incluindo construção, automotiva e aeroespacial. O compromisso da Hexion com a inovação e a sustentabilidade a posiciona como um jogador significativo no setor de fabricação química.

Descrição

• Serve as the engineering lead 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 LangChain/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 Foundry — RAG-based knowledge agents, decision support for forecasting and capacity planning, and document intelligence for maintenance work orders and recipes. • Design and deliver AI copilots and topic-based agents using Microsoft Copilot Studio — enabling Supply Planning and Manufacturing teams to access insights and take action directly from Teams and Outlook. • Act as the AI delivery owner 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, reflection, and human-in-the-loop — 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 — prompt versioning, tool auditing, evaluation frameworks, observability, and safety guardrails for production deployments. • Develop on Azure Databricks — PySpark and SQL against gold/platinum Delta tables, notebooks for transformation and feature work, and orchestration via 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 cadence — 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.

🎯 Requisitos

• Master’s degree in Mathematics, Computer Science, Data Science, Information Systems, Engineering, or a related field with 5+ years of relevant analytics / AI experience, OR Bachelor’s degree in Chemical, Industrial, Computer Science, or related 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, LangChain/LangGraph, or Azure AI Agent Service. • Strong Python engineering skills — building production-grade AI agents and pipelines, including REST API integration, prompt versioning, evaluation frameworks, and observability for LLM-based systems. • Compulsory — must have hands-on experience with two or more of the following: • Azure AI Foundry (RAG pipelines, prompt flows, agent service) • Microsoft Copilot Studio (agents, topics, actions, Power Automate integration) • Microsoft 365 Copilot extensibility (plugins, connectors, Graph APIs) • Microsoft Power BI (DAX, semantic modeling, performance tuning) • Strong proficiency in Databricks (Python, SQL, Delta Lake, PySpark, notebooks). • Strong functional understanding of Supply Planning (S&OP, demand/supply planning, inventory, order management) and/or Manufacturing (plant maintenance, capacity planning, OEE). • Experience with SAP 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.

🏖️ Benefícios

• Equal Opportunity Employer • Affirmative Action employer • Consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law