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# Senior AI Engineer

- **Company:** Insight Global
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, ARM Architecture, Microsoft Azure, Python (Programming Language), Machine Learning, OpenAI, LangChain, Retrieval-Augmented Generation, Large Language Models, Snowflake, Multi-Agent Systems, Generative AI, Agentic-AI, AutoGen, Machine Learning Operations, Artificial Intelligence Governance, Semantic Kernel, Microservices
- **Published:** October 22, 2026
- **Apply:** https://dejobs.org/x/x/94B7498E069E4A46B6ED3D2824889385/job/

## About the Role

** Gen AI / AI Engineering leadership * Azure (OpenAI, ML, Functions, AKS) * Snowflake (Semantic Views, Cortex Analyst) * Agentic AI frameworks (LangChain, LangGraph, Semantic Kernel, AutoGen) * RAG & document intelligence solutions * ML/MLOps/LLMOps * Python * API & microservices development * AI orchestration and workflow automation * AI guardrails, governance, and responsible AI * Enterprise architecture and stakeholder management Nice-to-Haves * Vector databases * Prompt/agent evaluation frameworks * CPG, retail, or consumer insights experience * AI Center of Excellence (COE) experience * Global/matrixed team environment experience Key Focus Areas * AI orchestration layer development * Agentic and autonomous AI systems * LLM + ML model integration * Snowflake + Azure ecosystem * Insight generation and automation * Production-grade AI solutions and governance

## Description

* Gen AI / AI Engineering leadership * Azure (OpenAI, ML, Functions, AKS) * Snowflake (Semantic Views, Cortex Analyst) * Agentic AI frameworks (LangChain, LangGraph, Semantic Kernel, AutoGen) * RAG & document intelligence solutions * ML/MLOps/LLMOps * Python * API & microservices development * AI orchestration and workflow automation * AI guardrails, governance, and responsible AI * Enterprise architecture and stakeholder management Nice-to-Haves * Vector databases * Prompt/agent evaluation frameworks * CPG, retail, or consumer insights experience * AI Center of Excellence (COE) experience * Global/matrixed team environment experience Key Focus Areas * AI orchestration layer development * Agentic and autonomous AI systems * LLM + ML model integration * Snowflake + Azure ecosystem * Insight generation and automation * Production-grade AI solutions and governance