{"id":1618591,"url":"https://alion.io/job/hexion-lead-agentic-ai-engineer-us-remote-us-ohcolumbus","title":"Lead Agentic AI Engineer-US Remote - US-OH,Columbus","company":{"id":1999475,"name":"Hexion","domain":"hexion.com","url":"https://alion.io/company/hexion","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Columbus, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":130000,"max_usd":266000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":730},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"Azure","optional":false},{"name":"Copilot","optional":false},{"name":"Copilot Studio","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Function Calling","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Outlook","optional":false},{"name":"Power Automate","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"SharePoint","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"Git","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"MLFlow","optional":true},{"name":"Neo4j","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-19T07:00:00Z","employer_posted_date":"2026-09-19","last_verified_at":"2026-10-25T19:26:46Z","board_verified":true,"closed_at":null,"days_open":36,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":36},"description":"Company Overview\n\nImagine Everything. Build the Future with Hexion.\nAt Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress-developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future.\nThis is where bold thinkers, problem-solvers, and innovators come together to shape what’s next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward.\nWe don’t follow the status quo-we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger.\nWe invest in innovation, sustainability, and continuous development-equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide.\nYour Future Starts Here.\nIf you’re ready to push limits, reimagine what’s possible, and create the extraordinary, Hexion is where you belong.\nAnything is possible when you imagine everything.\nJob Responsibilities\nServe 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. \nArchitect 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. \nImplement the MCP to surface enterprise data as structured context for AI agents operating in supply chain and manufacturing workflows. \nBuild 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. \nDesign 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. \nAct 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. \nApply emerging agentic AI patterns - including ReAct, Plan-and-Execute, reflection, and human-in-the-loop - for supply chain and operational use cases. \nPartner 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. \nDefine and maintain AI agent governance - prompt versioning, tool auditing, evaluation frameworks, observability, and safety guardrails for production deployments. \nDevelop on Azure Databricks - PySpark and SQL against gold/platinum Delta tables, notebooks for transformation and feature work, and orchestration via Workflows. \nBuild and maintain Power BI reports and semantic models that serve as grounding data for AI agents and executive dashboards across Supply Planning and Manufacturing. \nOwn Supply Chain AI metrics alignment cadence - keeping priorities, status, and roadblocks visible to Supply Chain and Manufacturing leadership. \nMentor analysts and engineers on agentic AI design patterns, MCP, and AI delivery best practices.\nMinimum Qualifications\nEducation & Experience (one of the following):\nMaster’s degree in Mathematics, Computer Science, Data Science, Information Systems, Engineering, or a related field with 5+ years of relevant analytics / AI experience, OR \nBachelor’s degree in Chemical, Industrial, Computer Science, or related fields with 8+ years of relevant analytics / AI experience. \nTechnical:\nHands-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. \nHands-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. \nStrong Python engineering skills - building production-grade AI agents and pipelines, including REST API integration, prompt versioning, evaluation frameworks, and observability for LLM-based systems. \nCompulsory - must have hands-on experience with two or more of the following: \nAzure AI Foundry (RAG pipelines, prompt flows, agent service) \nMicrosoft Copilot Studio (agents, topics, actions, Power Automate integration) \nMicrosoft 365 Copilot extensibility (plugins, connectors, Graph APIs) \nMicrosoft Power BI (DAX, semantic modeling, performance tuning) \nStrong proficiency in Databricks (Python, SQL, Delta Lake, PySpark, notebooks). \nStrong functional understanding of Supply Planning (S&OP, demand/supply planning, inventory, order management) and/or Manufacturing (plant maintenance, capacity planning, OEE). \nExperience with SAP ECC / S/4HANA supply chain and manufacturing modules (MM, PP, SD, PM). \nAbility to translate business problems into agentic AI solutions and communicate clearly to technical and executive audiences. \nStrong collaboration and stakeholder management skills in cross-functional environments. \nPreferred Qualifications\nExperience deploying AI agents in production - evaluation frameworks, safety guardrails, logging, and human-in-the-loop workflows. \nFamiliarity with agentic design patterns (ReAct, Plan-and-Execute, reflection, structured tool outputs). \nFamiliarity with knowledge graphs or graph databases (e.g., Neo4j) for agent reasoning and grounding. \nStrong Power BI experience - semantic modeling, performance optimization, executive dashboard design. \nExperience in chemicals, manufacturing, or process industries. \nExperience with Palantir Foundry (pipelines, ontology, Workshop, AIP). \nExposure to MLOps on Azure (Azure ML, MLflow, Databricks Asset Bundles, CI/CD for analytics). \nExperience designing operational KPI frameworks (MAPE, OTIF, service level, OEE, downtime). \nExperience with containerization (Docker), version control (Git), and modern software engineering practices. \nOther\n\nWe are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive 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.\nTo be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.","description_format":"text","description_chars":7556,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Energy Efficiency","Smart City"],"lifecycle":[{"event":"open","at":"2026-10-01T20:39:39Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 5","filings_12m":5,"filings_prev_12m":7,"green_card_filings_12m":0,"median_offered_wage_usd":132500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":3}],"liveness":{"score":36,"band":"fade","label":"Fading","p_open":1,"p_active":0.652,"p_room":0.55,"age_days":35,"expected_fill_days":27,"reasons":["conf:4","win:tail"],"computed_at":"2026-10-25T05:49:26Z"},"pay":null,"html_url":"https://alion.io/job/hexion-lead-agentic-ai-engineer-us-remote-us-ohcolumbus","json_url":"https://alion.io/job/hexion-lead-agentic-ai-engineer-us-remote-us-ohcolumbus.json","meta":{"generated_at":"2026-10-25T23:05:30Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":32567,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1999475},"rest":"https://alion.io/mcp/rest/get_company?id=1999475"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhexion-lead-agentic-ai-engineer-us-remote-us-ohcolumbus"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fhexion-lead-agentic-ai-engineer-us-remote-us-ohcolumbus"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fhexion-lead-agentic-ai-engineer-us-remote-us-ohcolumbus"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/hexion-lead-agentic-ai-engineer-us-remote-us-ohcolumbus\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhexion-lead-agentic-ai-engineer-us-remote-us-ohcolumbus"}]}