AI Solution Architect

Req ID: 381458 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

AI Solution Architect

NTT DATA is a trusted global innovator of business and technology services, helping clients innovate, optimize, and transform for success. We strive to hire exceptional, innovative, and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

Overview:

The AI Solution Architect designs fit-for-purpose AI solutions for qualified opportunities, aligned to client requirements, NTT DATA offering standards, commercial expectations, and delivery capabilities. This role owns the practical translation of client needs into solution blueprints, scope, work estimates, phasing, timelines, pricing inputs, SOW content, and delivery handoff materials. The AI Solution Architect partners closely with AI Consultants, Principal Architects, FDE, Delivery, Finance, Commercial, Sales, and ecosystem partners.

Key Responsibilities:

- Design AI solutions aligned to client requirements, NTT DATA standards, and delivery capabilities.

- Define scope, approach, solution blueprints, technical architectures, assumptions, dependencies, risks, and success criteria.

- Build work estimates across roles, effort, skills, locations, tooling, platforms, and delivery dependencies.

- Define workplan timelines, delivery phases, milestones, and MVP-to-scale implementation paths.

- Partner with delivery, finance, and commercial teams to shape pricing inputs, deal economics, margin assumptions, and commercial options.

- Support SOW development by defining scope boundaries, deliverables, acceptance criteria, dependencies, and change-control considerations.

- Validate feasibility, implementation approach, resourcing model, integration complexity, data readiness, security, governance, and operational support requirements.

- Incorporate partner platforms and models into solution designs where relevant.

- Support technical Q&A, client demos, solution walkthroughs, proposal defense, and transition from pursuit to delivery.

- Contribute reusable estimates, patterns, BOMs, workplans, solution artifacts, and lessons learned into the global AI GTM knowledge base.

Success Measures:

- Pursuit deal volume, measured as total TCV value of AI deals where the AI Solution Architect supported.