Senior Agentic AI Engineer
Core
Design, build, and operate production-grade single- and multi-agent systems and decision intelligence capabilities on Microsoft Azure to support enterprise supply chain operations.
Role type
Senior Agentic AI Engineer (IC)
Builds
Scalable generative AI solutions, RAG architectures, natural-language-to-SQL capabilities, and secure agent integrations for enterprise data.
Domain
Supply chain / Enterprise AI / Cloud
Deliverable
production ML models
Required skills
Agentic AI frameworks (Microsoft Agent Framework, Semantic Kernel, LangGraph, AutoGen), Python, TypeScript/Node.js, Azure AI Foundry, Azure OpenAI, RAG, vector/hybrid search, LLMOps, CI/CD, Docker, Kubernetes, SQL/NoSQL, MCP integrations, prompt engineering, LLM evaluation.
Preferred skills
Microsoft Fabric, Azure Databricks, Copilot Studio, model fine-tuning (LoRA/QLoRA), React, supply chain domain knowledge (procurement, logistics), Oracle EBS/SAP.
Technologies
Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Container Apps, Azure Functions, Entra ID, Cosmos DB, AKS, LangGraph, AutoGen, Semantic Kernel, MCP, Docker, Kubernetes, SQL, NoSQL, React, TypeScript, Node.js, Python, LLM APIs, Vector DBs, REST APIs, ETL pipelines.
Responsibilities
Design and architect scalable generative AI solutions and RAG systems; develop natural-language-to-SQL and decision intelligence capabilities; build secure agent integrations with enterprise systems; define and automate agent quality evaluations and guardrails; implement observability and cost optimization; guide architectural decisions and mentor engineers; partner with stakeholders to translate requirements into AI capabilities.
Seniority
Senior, hands-on IC
