NTT DATA is seeking an innovative AI Architect to design and deliver fit-for-purpose AI solutions. You will translate client needs into comprehensive solution blueprints, collaborating with various internal teams and external partners. This role is crucial for driving successful AI initiatives, aligning them with client requirements, NTT DATA standards, and commercial goals.

Join a forward-thinking organization committed to accelerating client success and societal impact through responsible innovation. As a global leader in AI and digital infrastructure, NTT DATA offers unparalleled expertise across enterprise-scale AI, cloud, security, and more. We foster an inclusive and adaptable environment where passionate individuals can grow with us.

Design AI solutions that meet client needs and align with NTT DATA's standards and delivery capabilities. Define project scope, technical architectures, and success criteria. Develop detailed work estimates, timelines, and phasing plans for AI projects. Partner with finance and commercial teams to define pricing, deal economics, and commercial options. Support Statement of Work (SOW) development, outlining deliverables and change-control processes. Validate solution feasibility, resourcing, integration complexity, data readiness, security, governance, and operational support.

Incorporate partner platforms and models into solution designs. Provide technical support during Q&A, client demos, and proposal defenses. Transition solutions seamlessly from pursuit to delivery phases. Contribute reusable artifacts, estimates, and lessons learned to the global AI Go-to-Market knowledge base.

A minimum of 5 years of experience in solution architecture, technology consulting, software engineering, data engineering, systems integration, presales, or delivery roles. Over 3 years of experience specifically designing or delivering AI, data, analytics, ML, GenAI, agentic AI, or automation solutions. At least 1 year of hands-on or solutioning experience with GenAI, LLMs, RAG, AI agents, or enterprise AI platforms.

Proven ability to produce solution blueprints, work estimates, delivery plans, staffing models, and SOW/pricing inputs. Familiarity with cloud, data, integration, application architecture, security, responsible AI, governance, and operational support. A Bachelor's degree or equivalent work experience is required.