AI Coach

Job Title: AI Coach


Length: 6-10 months

Location: While this role is primarily remote, the client prefers candidates near satellite offices. Candidates may be called into their local office for ID Verification at any time during the project. Candidates must attend an in-person interview or pick up their laptop at one of the client's offices: San Francisco, Arlington, VA, Denver, CO, Chicago, Boston, NYC, Houston, Miami, Los Angeles, Seattle, Dallas, Minneapolis, Minn, Atlanta, GA, Birmingham, MI or Irvine, CA

AI Coach


What the client needs: Experienced consultants to help validate whether teams are truly operating in the new AI-driven delivery model, not just self-attesting that they are. The immediate need is less about driving adoption and more about certifying/validating adoption against a defined maturity framework.

Core objective: Help assess, validate, and certify teams against the AIDLC maturity model so leadership can confidently count teams toward the broader goal of reaching 60% adoption of the "new way of working" by year-end.


Scope of Work:
• Review teams that have self-reported as operating at accelerator levels.
• Validate whether those teams are actually using AI skills, agents, plugins, and AI-driven workflows in meaningful day-to-day delivery.
• Confirm whether tools/plugins are registered in the AI catalog and aligned to the governed path.
• Assess whether team structure aligns to the intended accelerator model, such as smaller pods rather than large traditional teams.
• Pressure test and refine the certification criteria and maturity levels.
• Use data, telemetry, conversations, and delivery outcomes to support validation.
• Help define what "good" looks like for AI-enabled delivery across teams.
• Feed learnings back into enterprise guidance and operating model refinement.
Type of talent needed: This is not a traditional agile coach role. They need hands-on technical/architecture-oriented people who already understand and use AI-enabled delivery practices.


Must-have Requirements:
• Hands-on AI delivery experience.
• Strong technical or 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 review telemetry, delivery evidence, workflows, and outcomes.
• Ability to assess whether teams are truly changing how they build and deliver.
• Comfortable operating in ambiguity and refining the framework as the work progresses.
• Able to hit the ground running with limited ramp-up time.


Nice-to-have
• Experience with AI governance, auditability, and responsible use.
• Familiarity with AI catalog/plugin ecosystems.
• Experience defining maturity models or certification frameworks.
• Experience working across enterprise teams and multiple lines of business.
• Strong facilitation skills to guide teams without coming across as punitive assessors.