AI Architect (AIDLC, AI Coding, Validating, Delivery) - 10+ yrs - In-Person Interview
Why This Role Stands Out
This AI Coach role offers a unique opportunity to shape the future of AI-driven delivery by validating adoption and refining certification criteria. If you are an experienced professional with a keen eye for detail and a passion for driving impactful change, this position provides a platform to elevate your expertise within a reputable organization. Apply today to leverage your skills and contribute to cutting-edge AI initiatives.
Quick Overview
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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