AI Architect

Milwaukee, WI, US • Posted 2 days ago • Updated 2 days ago
Contract Corp To Corp
Contract Independent
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Artificial Intelligence
  • Microsoft Azure
  • Machine Learning (ML)
  • LLM

Summary

We are seeking a senior AI Architect (consultant) to lead enterprise AI adoption—not just build models, but design, govern, and operationalize AI across the organization. This role requires someone who can work with leadership, drive execution, and ensure secure, scalable implementation of AI and agent-based systems.

What This Person Will Do

  • Lead end-to-end AI architecture across Azure (OpenAI, ML, data, security)
  • Define and implement AI/agent strategy (RAG, APIs, MCP, orchestration frameworks)
  • Drive internal AI enablement (tools, workflows, training, best practices)
  • Partner with executives and stakeholders to prioritize and execute AI initiatives
  • Design and oversee LLM integration (model selection, performance tuning, cost optimization)
  • Establish governance, security, and guardrails to prevent misuse or risk
  • Build scalable systems for continuous improvement and integration of AI capabilities
  • Guide teams on prompting, evaluation, and iterative optimization of outputs

What We’re Looking For (Must-Haves)

  • Proven experience as an AI Architect / Enterprise Architect (not just developer)
  • Strong Azure ecosystem expertise (Azure OpenAI, data platforms, security, identity)
  • Deep understanding of:
    • RAG vs API-based vs agent-based architectures
    • LLM capabilities, tradeoffs, and model selection
    • System design for scalable AI deployment
  • Experience implementing secure, production-grade AI systems
  • Ability to lead cross-functional teams and influence leadership
  • Experience building AI strategy + execution roadmap, not just coding solutions

 

What Disqualifies Candidates

  • Primarily a hands-on AI/ML developer with no architecture ownership
  • No experience with enterprise-scale systems or security considerations
  • Limited exposure to LLM architecture decisions (RAG, agents, orchestration)
  • Has not worked directly with business stakeholders or leadership

Ideal Background

  • Enterprise consulting or architecture roles
  • Experience rolling out AI capabilities across an organization
  • Comfortable acting as both strategic advisor and execution driver
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: 10267472
  • Position Id: 8950327
  • Posted 2 days ago
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