AI Solution Architect (w/m/x)

NTT America, Inc.

Berlin

Vor Ort

EUR 110.000 - 160.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Remote EU work
Flexible hours
Pension plan
Bike leasing
Public transport pass
Health benefits
Development opportunities
Volunteer programs

Zusammenfassung

NTT DATA is seeking an AI Solution Architect in Germany to design fit-for-purpose AI offerings for qualified opportunities. You will translate client needs into blueprints, define scope, plan work, and help shape pricing and SOW content while coordinating with AI consultants, delivery, and commercial teams.

Required are 8+ years in solution architecture, 3+ years in AI/GenAI delivery, and fluency in German and English. Flexible EU remote work is supported; Berlin-based candidates are welcomed.

Qualifikationen

  • 8+ years in solution architecture, technology consulting, software engineering, data engineering, or delivery.
  • 3+ years designing or delivering AI, data, analytics, ML, GenAI, or automation solutions.
  • 1+ year hands-on GenAI, LLMs, RAG, AI agents, or enterprise AI platforms.
  • Experience producing solution blueprints, work estimates, delivery plans, staffing models, SOW inputs, pricing inputs.
  • Knowledge of cloud, data, integration, security, governance, and operational support considerations.
  • Bachelor's degree or equivalent; fluency in German and English.

Aufgaben

  • Design AI solutions aligned to client requirements and delivery capabilities.
  • Define scope, blueprints, architectures, assumptions, dependencies, risks, and success criteria.
  • Build estimates across roles, effort, skills, locations, tooling, and delivery dependencies.
  • Define workplan timelines, milestones, and MVP-to-scale paths.
  • Shape pricing inputs, deal economics, margins, and commercial options.
  • Support SOW development with scope, deliverables, acceptance criteria, dependencies, and change control.
  • Validate feasibility, resourcing, integration complexity, data readiness, security, governance, and support needs.
  • Incorporate partner platforms into solution designs where relevant.
  • Support client demos, solution walkthroughs, and transition from pursuit to delivery.
  • Contribute reusable artifacts to the global AI GTM knowledge base.

Kenntnisse

Experience in solution architecture
German and English fluency
Analytical thinking
Client-facing communication

Ausbildung

Bachelor's degree or equivalent work experience

Tools

Azure
AWS
GCP
OpenAI
Databricks
Snowflake
MLOps

Jobbeschreibung

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.

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.

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.

  • Fluency in German and English

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.

Benefits:
  • Flexible working hours with a flexitime arrangement; business travel time is considered working time

  • 30 days of annual leave, plus December 24 and December 31 as additional non-working days

  • The option to take a sabbatical of up to one year

  • Remote work and mobile working from other EU countries

  • Attractive benefits and compensation optimisation programmes, including an occupational pension scheme, JobRad bike leasing, a public transport pass, exclusive discounts through Corporate Benefits, and much more

  • Comprehensive health and preventive care benefits, including extended continued remuneration in the event of illness, occupational health services, worldwide accident insurance covering both work-related and leisure-time accidents, and family support services

  • A wide range of internal and external development opportunities through the NTT DATA Academy, including specialist training, certification programmes, soft-skills training, and access to Udemy

  • Varied corporate volunteering opportunities, as well as diverse communities and initiatives focusing on Diversity, Equity & Inclusion, sustainability, and more, with knowledge sharing on an equal footing

  • A team-oriented corporate culture with plenty of scope to contribute ideas and shape your work

With us, you will have countless opportunities to think big, act boldly, and take responsibility. Shape your future in a culture that fosters a sense of belonging and gives you the space to learn and build your network.

Diversity is an essential part of our success and our corporate culture. Free from prejudice regarding gender, sexual orientation, age, ethnic or social background, religion, or disability, we look forward to getting to know you. Applicants with severe disabilities will be given preference if equally qualified.

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