Job Title: AI Coach
Work Location: Remote
Remote F2F Interview or Laptop Pick up Required San Francisco, Arlington, VA, Denver, CO, Chicago, Boston, NYC, Houston, Miami, Los Angeles, Seattle, Dallas, Minneapolis, Minn, Atlanta, GA, Birmingham, MI or Irvine, CA
If you find this opportunity suitable, kindly share your updated resume. Also, please let me know a good time to connect with you for a quick discussion.
Looking forward to hearing from you!
Job Description
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.
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