AI Lead with Azure

Hybrid in Moline, IL, US • Posted 1 day ago • Updated 1 day ago
Contract W2
No Travel Required
Hybrid
Depends on Experience
Fitment

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Job Details

Skills

  • AI
  • Python
  • M365 Copilot
  • LLMs
  • RAG

Summary

AI  Lead with Azure

Location                    IL  OR Remote ( But mist come  to office for important meetings monthly once)

Duration                   1 year

 

 

Azure AI Lead - Job Description

Position Overview

We are seeking a highly skilled Azure AI Lead to drive the design, development, and delivery of AI solutions within the Microsoft Azure ecosystem. This role requires deep expertise in AI/ML, Azure cloud services, M365 architectures including Copilot, and enterprise AI solution delivery. As a Lead, you will guide engineering teams, ensure successful execution, and enable innovation across AI initiatives.

Key Responsibilities

 

AI Strategy & Solution Delivery

  • Design and lead the execution of AI strategies leveraging Azure AI, Azure OpenAI Service, Azure Copilot Studio, Azure AI Foundry, Azure Machine Learning, and Cognitive Services.
  • Design scalable and secure AI solutions using Azure Functions, AKS, and Databricks.
  • Contribute to AI governance and ensure compliance with enterprise security and responsible AI standards.

AI Development & Model Engineering

  • Lead development of generative AI applications including LLMs, RAG models, AI agents, and custom pipelines.
  • Implement prompt engineering, fine-tuning, and retrieval optimization.
  • Design vector search architectures using Azure Cognitive Search and vector databases.
  • Cloud, DevOps & MLOps
  • Drive MLOps practices using Azure DevOps and GitHub Actions.
  • Optimize cloud AI workloads for performance, cost, and security.
  • Work with IaC tools such as Terraform, Bicep, and ARM templates for automation.

Cross-Team Leadership

  • Collaborate with data scientists, engineers, and stakeholders to deliver AI-driven solutions.
  • Mentor engineering teams and conduct AI design and code reviews.
  • Evaluate emerging AI technologies including LangChain, Semantic Kernel, and multi-agent frameworks.

Required Qualifications

  • 10+ years of experience in AI/ML and Azure cloud environments.
  • Strong proficiency in Python, C#, or R.
  • Hands-on experience with M365 Copilot, Copilot Studio, Azure OpenAI, Bot Framework, and Cognitive Services.
  • Deep understanding of LLMs, RAG architectures, and vector databases.

Preferred Qualifications

  • Master’s degree in Computer Science, AI, or related field.
  • Azure certifications (AI-102, AZ-305, DP-100).
  • Experience with multi-cloud AI strategies and enterprise-scale AI deployments.

 

 

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91001743
  • Position Id: 8907728
  • Posted 1 day ago
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