AI Value Architect – Cognizant

Job Summary :

The AI Value Architect owns the AI value journey for a business area (for example Revenue and Commercial, Operations and Guest, or Finance, HR and Cargo) end to end: all the AI we build and run to create value there. You are an elevated technical product leader who sits between the business and the engineers: you turn business needs into a prioritized backlog, lead a standing squad, and still build alongside them. This is a leadership role, not a facilitation one. You are the AI counterpart to the business area’s leadership, and you align AI efforts across squads so the whole vertical compounds rather than fragments.

Accountabilities & Responsibilities

• Own the value, not just the delivery. Start from the business outcome and the why, then lead your squad from discovery to production and measurable impact.
• Own the AI value journey for your business area single-threaded: one owner, one set of outcomes, and clear accountability to the business.
• Translate business needs into a prioritized AI backlog with your Business Product Owner, and make the calls on what to build, what to defer, and what not to build.
• Lead a standing squad of Forward Deployed AI Engineers, set the technical direction, and keep quality, evaluation, security and cost on track.
• Stay hands-on: code alongside the team, review, and shape the agentic architecture. No overhead, everyone builds, the AI Value Architect included.
• Define the success measures, feedback loops and validation gates for your business area’s AI work, and build the measurement discipline to show the business impact of the AI investment.
• Run tight feedback loops and take a systems view across the delivery lifecycle: know when to adjust, redesign or pivot, and balance your squad’s capacity between building reusable AI capability and delivering with it.
• Align AI efforts across business areas and squads: find synergies, reuse patterns, surface and unlock underused capability, and prevent parallel reinvention, on the Hub’s paved road and MCP fabric.
• Be the AI counterpart to your business area’s leadership: build trust, manage expectations on cost, performance and feasibility, and turn AI into outcomes the business owns.
• Coach and grow your squad and business partners on effective and responsible AI use, lift the business area’s AI fluency over time, and build lasting AI expertise in a standing team rather than project-hopping.
• Protect the guest and the operation: keep solutions human-centric and speak up when AI is not the right tool.

Job Details

Preferred Candidate

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