Senior AI Engineer: Build Production GenAI & MLOps

Peter Millar

Northern (KY)

Hybrid

USD 140,000 - 200,000

Full time

14 days+
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Job summary

Peter Millar is seeking a Senior AI/ML Engineer to advance internal AI capabilities using Microsoft Foundry (Azure AI Foundry), One Lake data, and governed data foundations. You will deploy, monitor, and improve production AI features across search, personalization, and content generation, while reducing reliance on external consultants.

The role requires strong Python, MLOps skills, and hands-on Azure AI Foundry experience, plus the ability to mentor others and collaborate with data science and

Qualifications

  • 5+ years in ML/AI engineering with production delivery (RAG, copilots, search, or personalization).
  • Hands-on Microsoft Foundry / Azure AI Foundry experience.
  • Experience with MCP, RAG, and LLM integration; strong prompt-engineering skills.
  • Familiarity with Microsoft Fabric / One Lake and governed data foundations.
  • Strong Python; solid MLOps and software-engineering fundamentals.
  • Relevant Azure AI certifications are a plus.

Responsibilities

  • Production of AI capability build and deploy production AI features using Foundry.
  • Implement LLM and RAG solutions grounded in One Lake data; connect models to data and tools.
  • Develop and tune prompts, retrieval strategies, and agent workflows.
  • Establish deployment, monitoring, evaluation, and cost-management practices for AI projects.

Skills

Azure AI Foundry
LLMs & RAG
MLOps
Python
MCP
Guardrails & security

Education

Bachelor's or Master's in CS/ML

Tools

Microsoft Foundry (Azure Foundry)
Azure OpenAI
Fabric/One Lake
Model catalog
CI/CD tooling

Job description

Peter Millar is seeking a Senior AI/ML Engineer to advance internal AI capabilities using Microsoft Foundry (Azure AI Foundry), One Lake data, and governed data foundations. You will deploy, monitor, and improve production AI features across search, personalization, and content generation, while reducing reliance on external consultants.

The role requires strong Python, MLOps skills, and hands-on Azure AI Foundry experience, plus the ability to mentor others and collaborate with data science and

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