Lead Agentic AI Engineer-US Remote - US-OH,Columbus
Tasks
- Apply ReAct and plan and execute patterns
- Architect multi-agent AI systems
- Build Power BI reports and semantic models
- Build and deploy generative AI RAG knowledge agents
- Build generative AI decision support for forecasting and capacity planning
- Collaborate with supply chain and manufacturing stakeholders to scope use cases
- Create AI copilots in Microsoft Copilot Studio
- Develop Databricks ETL with PySpark and SQL
- Develop document intelligence for maintenance work orders
- Develop production grade AI agent solutions
- Establish AI agent governance and evaluation frameworks
- Implement MCP for enterprise data context
- Implement human-in-the-loop workflows
- Mentor engineers on agentic AI delivery best practices
- Orchestrate tool calling and memory management
- Set up observability and safety guardrails
- Track supply chain AI metrics alignment cadence
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | Agent Service | Autogen | Azure AI | Azure AI Agent | Azure AI Agent Service | Azure AI Foundry | Azure Databricks | CI/CD | Capacity Planning | Copilot Studio | DAX | Delta Lake | Demand Planning | Docker | Evaluation | Forecasting | Git | Graph API | Human-in-the-loop | Langchain | Langgraph | MCP | MLOps | MLflow | Maintenance Management | Memory Management | Microsoft 365 | Microsoft 365 Copilot | Microsoft Copilot | Microsoft Copilot Studio | OEE | Observability | Power BI | Prompt engineering | PySpark | Python | RAG | REST API | S&OP | SAP ECC | SAP S4HANA | SQL | Semantic Kernel | SharePoint | The Loop | Tool-Calling
Education
Roles
AI | AI Engineer | Agentic AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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