AI & Emerging technologies

AI Solution Architect

NTT DATA

London · Greater London · United Kingdom

Overview

As an AI Solution Architect at NTT DATA, you translate client needs into actionable AI blueprints aligned with our standards and delivery capabilities. You design scope, architectures, and delivery plans that enable scalable AI solutions across opportunities. You collaborate with AI Consultants, Principal Architects, and cross-functional teams to shape pricing, SOWs, and handoffs into delivery. You enjoy solving complex, multi-stakeholder problems and shaping reproducible patterns for global use. This role offers a chance to influence large AI programs and advance responsible, enterprise-grade AI solutions.

Pay / Benefits
  • flexible work options
  • learning and development opportunities
  • wellbeing support
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
Key requirements
  • 8+ years in solution architecture, technology consulting, software engineering, data engineering, systems integration, presales, or delivery
  • 3+ years designing or delivering AI, data, analytics, ML, GenAI, agentic AI, or automation solutions
  • 1+ year hands-on or solutioning with GenAI, LLMs, IAG, AI agents, or enterprise AI platforms
  • Experience producing solution blueprints, work estimates, delivery plans, staffing models, assumptions, dependencies, SOW inputs, and pricing or commercial inputs
  • Working knowledge of cloud, data, integration, application architecture, security, responsible AI, governance, and operational support considerations
  • Bachelor's degree or equivalent work experience
  • strong analytical thinking
  • cross-functional collaboration
  • client-facing communication
  • Azure
  • AWS
  • GCP

Reference: WJ-747_31203628

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