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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Role: AI Coach Location: This role does not require candidates to be onsite daily. However, candidates must reside within a reasonable distance of Client Office. If hired candidates must be able to visit a client office to collect their company laptop and complete government-issued ID verification. Additionally, candidates must be able to go onsite when requested for security purposes. JD: Must-have Requirements: Hands-on AI delivery experience.Strong technical or architecture background.Familia
Objective: Help assess, validate, and certify teams against the AIDLC maturity model so leadership can confidently count teams toward the broader goal of reaching adoption of the new way of working . 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 evi
1099/C2C ContractTentative Start: October 2026, following completion of the interview processContract End Date:June 30, 2027Location/Schedule:Remote,8am-5pm PST Our direct, Higher Education client is seeking a hands-onTest Automation/AI Solutions Leadto provide dedicated technical support across three priority initiatives:FICA Redesign, Conversational AI (CAI), and Robotic Process Automation (RPA). This resource will support test automation and AI-enabled SDLC practices, advance CAI solutions fr
Role: AI Quality EngineerLocation: 100% Remote U.S. Hours: 8:00 AM 5:00 PM ET Clearance: Must be eligible to obtain and maintain a Public Trust clearance / favorable suitability determination Position OverviewWe are seeking an experienced AI Quality Engineer to support a federal customer in designing, validating, and implementing AI-enabled modernization solutions. The AI Quality Engineer will help develop and integrate AI capabilities while ensuring that AI-generated code, prototypes, skills,
