Senior AI Engineer

Insight Global

Chicago, IL, United States

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

dejobs.org

Tech stack

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

+8 more

Multi-Agent Systems Generative AI Agentic-AI AutoGen Machine Learning Operations Artificial Intelligence Governance Semantic Kernel Microservices

Job 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

Requirements

** 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

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