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AI Coach (AIDLC, AI Coding, Validating, Delivery) - 10+ yrs - In-Person Interview

Systems Management Group, IncNew York, NY🇺🇸United StatesPosted Sep 28, 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
New York, NY, United States
Posted
22 hours ago
AgileLESS

Job Description

Role: AI Coach

Exp: 10+ yrs

Location: CA/VA/CO/IL/MA/MI/TX/GA/FL/NYC/MN/WA

Note: Final Round In-Person must in one of the above locations.

Client Need: 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.

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.

Regards,

Prakash

prakash.v(@)smg(-)llc(.)us

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