AI Coach

AI Coach



Contract Length: 6 10 months



Location: Remote (San Francisco, CA; Arlington, VA; Denver, CO; Chicago, IL; Boston, MA; New York, NY; Houston, TX; Miami, FL; Los Angeles, CA; Seattle, WA; Dallas, TX; Minneapolis, MN; Birmingham, MI; Atlanta, GA; or Irvine, CA)



Duration: 6 10 months



Interview: In-person

Internal Note:

• Must be local with DL copy
• Role is primarily remote, but candidates may be required to report to a local client office for ID verification during the project.
• LinkedIn with location and photo (before 2022)

Our client is looking for an experienced AI Coach to support an enterprise-wide initiative focused on validating and certifying teams against a defined AIDLC (AI-Driven Development Lifecycle) maturity model .

This is not a traditional Agile Coach role . The ideal candidate will have a strong technical or architecture background and hands-on experience with AI-enabled software development and delivery. The primary focus will be to determine whether teams are genuinely operating in the new AI-driven delivery model, rather than simply self-reporting adoption.

Required Skills & Experience

• Hands-on experience with AI-enabled software development and delivery.
• Strong technical, software engineering, architecture, or solution architecture background.
• Familiarity with AI-driven SDLC/AIDLC practices.
• Experience using AI coding tools, agents, skills, plugins, and workflow automation in day-to-day delivery.
• Ability to evaluate telemetry, technical evidence, workflows, delivery practices, and outcomes.
• Ability to determine whether teams are genuinely changing how they build and deliver technology.
• Strong analytical and assessment skills.
• Comfortable working in an ambiguous and evolving environment.
• Ability to refine frameworks and assessment criteria based on real-world findings.
• Strong communication and facilitation skills.
• Able to work independently and hit the ground running with limited ramp-up time.

Nice to Have:

• Experience with AI governance, auditability, or responsible AI.
• Familiarity with enterprise AI catalogs and plugin ecosystems.
• Experience developing maturity models or certification frameworks.
• Experience working across large enterprise organizations and multiple lines of business.
• Strong facilitation skills and the ability to challenge teams constructively without creating a punitive assessment environment.