NTT DATA, Inc.
AI Solutions Architect

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Success Measures
- Pursuit deal volume, measured as total TCV value of AI deals where the AI Solution Architect supported.
- Pursuit win rate for AI deals where the AI Solution Architect supported.
- Utilization or billability against target.
- Estimate quality, solution feasibility, commercial accuracy, and successful handoff into delivery.
Basic Qualifications
- 8+ years of experience in solution architecture, technology consulting, software engineering, data engineering, systems integration, presales, or delivery roles.
- 3+ years of experience designing or delivering AI, data, analytics, ML, GenAI, agentic AI, or automation solutions.
- 1+ year of hands-on or solutioning experience with GenAI, LLMs, RAG, 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.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Preferred Skills
- Experience with Azure, AWS, GCP, OpenAI, Anthropic, Mistral, Google/Gemini, Databricks, Snowflake, vector databases, orchestration frameworks, and MLOps/LLMOps tooling.
- Experience supporting large pursuits, proposal development, pricing reviews, or delivery mobilization.
- AI/ML, cloud, data platform, architecture, or security certifications.
- Strong analytical thinking, commercial judgment, written communication, cross-functional collaboration, and client-facing presentation skills.
- Ability to travel as required for client and internal engagements.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location