Join NTT DATA as an AI Solution Architect and drive innovative AI solutions. This role is crucial for aligning client needs with our delivery capabilities, shaping groundbreaking AI strategies, and ensuring successful project execution. You will be instrumental in building robust technical architectures, defining project roadmaps, and collaborating with cross-functional teams to deliver impactful business outcomes.

This position offers the opportunity to contribute to a leading technology services provider with a strong commitment to responsible innovation and client success. Become part of a forward-thinking organization that empowers individuals to grow and make a significant impact in the AI and digital transformation landscape.

Design and architect cutting-edge AI solutions tailored to client requirements and NTT DATA standards. Define project scope, technical blueprints, and implementation strategies, including dependencies and risks. Develop detailed work estimates, timelines, and phased delivery plans for AI projects. Collaborate closely with finance and commercial teams to shape pricing, deal economics, and commercial options.

Support SOW creation by clearly defining deliverables and acceptance criteria. Validate solution feasibility, resourcing models, integration complexities, and operational readiness. Integrate partner platforms and models into solution designs. Assist in technical Q&A, client demonstrations, proposal defenses, and the transition from sales to delivery. Contribute reusable assets to the global AI knowledge base.

We seek experienced professionals with a minimum of 8 years in solution architecture, consulting, or engineering roles. A strong background of at least 3 years in designing and delivering AI, data, analytics, ML, GenAI, or automation solutions is essential. Specific experience with GenAI, LLMs, RAG, or AI agents, along with hands-on solutioning, is required (1+ year).

Proficiency in producing solution blueprints, work estimates, and delivery plans is a must. A solid understanding of cloud, data, integration, application architecture, security, responsible AI, and governance principles is expected. A Bachelor's degree or equivalent work experience is required. Preferred skills include experience with major cloud platforms and AI tools, as well as strong analytical, commercial, and client-facing communication abilities.