Lead Enterprise AI Architect – Private & Sovereign AI

Posted 8 Days Ago
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Budapest, HUN
In-Office
Expert/Leader
Information Technology • Business Intelligence • Consulting
The Role
Leads enterprise AI architecture and solution shaping for private, sovereign, hybrid, and cloud deployments. The role combines customer-facing pre-sales, technical discovery, presentations, proposals, architecture design, and coordination across cloud, infrastructure, networking, security, data, and application teams. Responsibilities include defining AI platforms, RAG and vector search architectures, model hosting, agentic workflows, governance, observability, reference architectures, and implementation roadmaps.
Summary Generated by Built In

Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

Lead Enterprise AI Architect – Private & Sovereign AI

About NTT DATA

NTT DATA is a global IT services and consulting company helping organizations transform their businesses through technology, innovation, and data-driven solutions. As part of a global technology organization, NTT DATA combines international expertise with strong local capabilities to deliver secure, scalable, and business-focused solutions to enterprise customers.

About the Team

We are building a new Private AI / Sovereign AI team focused on positioning, designing, demonstrating, and implementing next-generation enterprise AI platforms and solutions. Our vision is to design, scale, demonstrate, and deliver enterprise AI platforms that provide the foundation for a growing portfolio of AI services and solutions.

The team will work closely with NTT Hungary’s Data Center, Customer Experience, and Networking business areas, developing AI capabilities that can be integrated into existing enterprise environments and services — from contact centers and text-to-speech solutions to broader AI-powered business applications.

Given that the position is part of the Hungarian subsidiary/organizational unit, and that the role supports medium and large corporations, as well as Hungarian state-owned enterprises, fluent knowledge of both Hungarian and English, as well as a location in Hungary—preferably Pest County/Budapest—is essential

What You Will Do

As an Enterprise AI Architect, you will be a senior technical and customer-facing member of this newly established team. You will help customers understand the opportunities and architectural implications of enterprise AI, shape solutions during the pre-sales lifecycle, and translate business and technology requirements into practical, scalable architectures.

  • Lead the architecture and solution shaping of enterprise AI opportunities, translating business and technical requirements into secure, scalable, and practical solution concepts.
  • Drive customer-facing and pre-sales activities, including discovery sessions, technical consultations, workshops, presentations, solution discussions, proposals, RFIs/RFPs, and technical qualification.
  • Prepare and deliver compelling architecture and technology presentations, adapting complex technical concepts to different customer audiences and clearly communicating business value.
  • Design target architectures across enterprise technology domains, considering AI platforms, applications, data, infrastructure, cloud, networking, security, identity, integration, and operations.
  • Assess customer environments and requirements and define appropriate approaches for Private AI, Sovereign AI, Hybrid AI, and cloud-based AI deployments.
  • Shape AI solution architectures and roadmaps, including approaches for model hosting and inference, enterprise data integration, RAG, vector search, agentic workflows, orchestration, guardrails, and observability.
  • Coordinate internal technical specialists, working with Solution Engineers, infrastructure, networking, cloud, security, data, application, and delivery teams to validate proposed architectures.
  • Guide the transition from pre-sales and PoCs toward implementation, ensuring that proposed architectures are realistic, appropriately scoped, secure, scalable, and operationally viable.
  • Define reusable architecture assets, including reference architectures, design principles, integration patterns, standards, technology recommendations, and solution patterns for the AI Solution Tower.
  • Evaluate emerging AI and enterprise technologies, providing pragmatic, vendor-neutral recommendations based on customer requirements, technical feasibility, security, sovereignty, operational considerations, and cost.

What You Bring

The role is particularly suited to an experienced Enterprise Architect or Solution Architect who is comfortable in customer-facing and pre-sales situations and is interested in expanding their expertise into the rapidly evolving enterprise AI landscape.

  • 7–10+ years of enterprise architecture experience in large corporate environments, with experience working across multiple organizational units, technology domains, and stakeholder groups.
  • Strong customer-facing and pre-sales experience, including technical discovery, consultation, presentations, workshops, solution shaping, proposal development, and interaction with senior customer stakeholders.
  • Proven enterprise architecture expertise, with the ability to design and evaluate solutions spanning multiple technology domains rather than focusing on a single product or platform.
  • Strong understanding of enterprise technology architecture, including infrastructure, cloud, networking, security, identity, applications, integration, data, and operational environments.
  • Experience with AI solutions is a strong advantage, particularly Private AI, Sovereign AI, Hybrid AI, Generative AI, enterprise AI platforms, or AI architecture.
  • Good understanding of modern enterprise AI architecture patterns, including LLMs, model inference, RAG, embeddings, vector search, agentic workflows, orchestration, and enterprise AI integration.
  • Ability to balance technical, business, operational, security, and commercial considerations, making pragmatic architecture decisions and clearly communicating their implications.
  • Excellent communication and presentation skills in professional English, with the ability to explain complex technology clearly to both technical and business stakeholders and influence multidisciplinary teams without direct line authority.
  • AI expertise is a strong advantage, but deep AI specialization is not a prerequisite. Strong enterprise architecture foundations, customer-facing skills, technical curiosity, and the ability to learn and apply emerging technologies are equally important.

Why Join Us?

This is an opportunity to join a newly established Private and Sovereign AI team at an early stage and have a direct influence on how its architecture capabilities, solutions, and technology portfolio are developed.

You will work at the intersection of enterprise architecture, AI, cloud, infrastructure, and customer engagement, helping major organizations understand how Private, Sovereign, and Hybrid AI can be applied within complex enterprise environments.

You will also work closely with hands-on Solution Engineers and specialist teams. This allows you to focus on architecture, consultation, solution shaping, customer engagement, and pre-sales, while ensuring that the solutions you propose are technically credible and can ultimately be implemented successfully.

Workplace type:

Hybrid Working

About NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune

Global 100. We are committed to accelerating client success and positively impacting society through

responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with

unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and

application services. Our consulting and industry solutions help organizations and society move

confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more

than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as

established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each

year in R&D.


Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.


Third parties fraudulently posing as NTT DATA recruiters 

NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Skills Required

  • 7–10+ years of enterprise architecture experience in large corporate environments
  • Strong customer-facing and pre-sales experience, including discovery, consultation, presentations, workshops, solution shaping, and proposals
  • Proven enterprise architecture expertise spanning multiple technology domains
  • Strong understanding of infrastructure, cloud, networking, security, identity, applications, integration, data, and operations
  • Understanding of modern enterprise AI architecture patterns, including LLMs, model inference, RAG, embeddings, vector search, agentic workflows, and orchestration
  • Ability to balance technical, business, operational, security, and commercial considerations
  • Excellent professional English communication and presentation skills
  • Experience with Private AI, Sovereign AI, Hybrid AI, Generative AI, enterprise AI platforms, or AI architecture
  • Deep AI specialization

NTT DATA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NTT DATA and has not been reviewed or approved by NTT DATA.

  • Fair & Transparent Compensation Feedback suggests salary bands and grades are clearly defined, making ranges and promotion criteria easier to understand. Standardized HR processes provide visibility into levels across common delivery roles.
  • Healthcare Strength Feedback suggests the package includes comprehensive medical, dental, and vision options with HSA/FSA eligibility. Global materials emphasize comprehensive insurance and wellbeing as baseline offerings across regions.
  • Wellbeing & Lifestyle Benefits Flexible work options, including remote/hybrid arrangements, are highlighted as core benefits and can support work–life balance. Some delivery teams report more manageable hours than strategy consultancies, improving perceived value for time.

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The Company
HQ: Tokyo
55,092 Employees
Year Founded: 1988

What We Do

NTT DATA, Inc. is a trusted global innovator of business and technology services. We're committed to helping clients innovate, optimize and transform for long-term success. Our R&D investments help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity

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