Senior AI Engineer
Insight Global
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
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
Skills and 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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