Enterprise Architect - AI & Technology Governance

Gravity Hair Salon, LLC
Boulder, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Boulder, United States of America

Tech stack

Artificial Intelligence
Cursor (Graphical User Interface Elements)
Visual Studio Online
GitHub Copilot

Job description

We are building out an enterprise architecture function with a focus on AI adoption and governance, and we're looking for a seasoned Enterprise Architect to help lead the way. This is a strategic, high-visibility role that sits at the intersection of traditional enterprise architecture and applied AI - approximately 50/50. You'll evaluate tooling, set enterprise standards, and ensure the organization adopts AI in a structured, governed, and scalable way.

What You'll Do

  • Evaluate AI and non-AI software requests and provide buy vs. build recommendations
  • Assess AI products, estimate total cost of ownership, and recommend tooling and governance standards
  • Build and manage governance frameworks - intake forms, coordination processes, and communications - to prevent shadow AI and keep teams aligned
  • Bridge communication gaps across business, development, infrastructure, and data teams
  • Advise solutions architects and help them learn the business context behind technology decisions
  • Measure and drive AI maturity across the organization (L1 ? L3 progression)

Requirements

  • 5+ years of enterprise architecture experience - proven, not theoretical
  • A background in software development is strongly preferred - we want an architect who has built things, not just designed them
  • Microsoft stack experience preferred - C#, .NET, Azure, and familiarity with the broader Microsoft ecosystem
  • Comfort operating across cross-functional teams and orchestrating governance at scale
  • Ability to evaluate both traditional and AI-driven technology investments
  • Strong communication skills - you can translate complex architecture decisions for business and technical audiences alike
  • Curiosity about AI and genuine interest in how it changes enterprise technology strategy
  • Experience with tooling such as GitHub Copilot, VS Code, Cursor, or similar agentic development environments is a plus

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