AI Architect - Cross Functional

NTT
Bengaluru
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Analytical thinking","Commercial judgment","Written communication","Cross-functional collaboration","Client-facing presentation"]

Design fit-for-purpose AI solutions for qualified opportunities, translating client needs into solution blueprints, scopes, work estimates, timelines, pricing inputs, and SOW handoff materials. Own technical architectures, assumptions, dependencies, risks, and success criteria while partnering with AI consultants, architects, delivery, finance, commercial, sales, and ecosystem partners. Support feasibility validation, partner model/platform integration, proposal defense, client demos, and reusable artifacts in NTT DATA’s global AI GTM knowledge base.

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FursaFursa
NTT
NTT
1 month ago

AI Architect - Cross Functional

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Design fit-for-purpose AI solutions for qualified opportunities, translating client needs into solution blueprints, scopes, work estimates, timelines, pricing inputs, and SOW handoff materials. Own technical architectures, assumptions, dependencies, risks, and success criteria while partnering with AI consultants, architects, delivery, finance, commercial, sales, and ecosystem partners. Support feasibility validation, partner model/platform integration, proposal defense, client demos, and reusable artifacts in NTT DATA’s global AI GTM knowledge base.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design AI solutions aligned to client requirements, NTT DATA standards, and delivery capabilities.
  • •Define scope, approach, solution blueprints, technical architectures, and success criteria, including assumptions, dependencies, risks, and delivery handoff materials.
  • •Build work estimates, effort/skills requirements, 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.
  • •Validate feasibility and implementation approach, including resourcing, integration complexity, data readiness, security/governance/operational support needs; support proposal defense, demos, and transition to delivery.
Travel: Medium travel

Key Requirements

  • •5+ years in solution architecture, technology consulting, software engineering, data engineering, systems integration, presales, or delivery roles.
  • •3+ years designing or delivering AI, data, analytics, ML, GenAI, agentic AI, or automation solutions.
  • •1+ year 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 experience.
Experience:5+ yearsAIGenAIData engineeringPresales
Education:Bachelor's
Skills:Analytical thinkingCommercial judgmentWritten communicationCross-functional collaborationClient-facing presentation
Tech Stack:LLMsGenAIRAGAI agentsAzureAWSGCPOpenAIAnthropicMistralGoogle/GeminiDatabricksSnowflakeVector databasesOrchestration frameworksMLOpsLLMOps

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn