AI Solution Engineer – Private & Sovereign AI

Posted 8 Days Ago
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Budapest, HUN
In-Office
Mid level
Information Technology • Business Intelligence • Consulting
The Role
Build, deploy, integrate, and troubleshoot enterprise AI platforms across on-premises, private cloud, hybrid, and public cloud environments. Develop LLM, RAG, vector database, embedding, and agentic AI prototypes; translate customer needs into technical architectures; lead proof-of-concepts, demonstrations, workshops, and early implementations; and create reusable deployment assets while collaborating with infrastructure, security, networking, sales, and delivery teams.
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.

AI Solution Engineer – 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, demonstrating, designing, and implementing next-generation enterprise AI platforms.

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

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.

As an AI Solution Engineer, you will play a hands-on role across the entire solution lifecycle — from customer discovery, pre-sales and proof-of-concepts through technical validation, deployment, and early production implementation.

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

  • Build and deploy AI solutions — configure, integrate, validate, and troubleshoot enterprise AI platforms across on-premises, private cloud, hybrid, and public cloud environments.
  • Develop hands-on AI prototypes and PoCs using LLMs, open-weight models, model APIs, embeddings, vector databases, RAG, and agentic AI workflows.
  • Translate customer requirements into technical solutions by contributing to solution concepts, architecture, sizing, technical designs, and implementation approaches.
  • Integrate AI platforms with enterprise environments, including APIs, data sources, identity and authentication services, security controls, and existing business applications.
  • Lead the technical delivery of successful PoCs and sales engagements, transitioning validated solutions toward secure, scalable, and operable implementations.
  • Create and deliver technical demonstrations and workshops, explaining complex AI technologies and demonstrating their practical business value to customers and internal stakeholders.
  • Troubleshoot and optimize solutions across applications, AI platforms, containers, infrastructure, integrations, and model-serving environments.
  • Develop reusable technical assets, including reference architectures, deployment patterns, configurations, documentation, runbooks, and demo environments.
  • Collaborate across disciplines, working with AI architects, cloud and infrastructure teams, networking, security, delivery, sales, and technology partners.
  • Stay current with enterprise AI technologies and evaluate emerging platforms, frameworks, model-serving technologies, and cloud-native capabilities.

What You Bring

  • 3–5 years of hands-on IT experience in software engineering, DevOps, cloud engineering, platform engineering, solution engineering, systems integration, or a comparable technical role.
  • Strong practical experience with Linux, Python, REST APIs, Git, scripting, and technical troubleshooting, with the ability to develop and integrate working solutions rather than focusing solely on operations.
  • Hands-on experience with containers and deployment technologies, particularly Docker, with working knowledge of Kubernetes or comparable orchestration platforms; OpenShift experience is a strong advantage.
  • Practical understanding of modern Generative AI, including LLM APIs or model inference, embeddings, vector search, RAG, and agentic AI concepts. Professional AI/ML experience is a plus, but not mandatory.
  • Experience integrating and deploying software across enterprise environments, including on-premises, private cloud, hybrid cloud, or public cloud platforms such as Azure, AWS, or Google Cloud.
  • Understanding of enterprise AI infrastructure and operations, including model serving, inference, GPU-based workloads, security, identity, networking, monitoring, and production-readiness considerations.
  • Customer-facing and solution-oriented mindset, with an ability to participate in pre-sales, technical workshops, proof-of-concepts, solution validation, and early-stage implementations.
  • Strong communication, problem-solving, ownership, and continuous-learning skills, with the ability to explain complex technical concepts clearly and collaborate effectively with architects, engineers, sales teams, and customers.

Why Join Us?

This is an opportunity to join a newly established AI team at an early stage, giving you significant influence over the technologies, solutions, and implementation practices we build.

You will work at the intersection of Generative AI, enterprise infrastructure, cloud engineering, DevOps, and solution architecture, with the opportunity to grow your expertise in Private and Sovereign AI while working on real customer challenges.

The role offers a strong learning and development path: you do not need to be an AI specialist from day one — what matters most is strong technical fundamentals, hands-on engineering capability, curiosity, and the motivation to build expertise in enterprise AI.

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

  • 3–5 years of hands-on IT experience in software engineering, DevOps, cloud engineering, platform engineering, solution engineering, systems integration, or a comparable technical role.
  • Strong practical experience with Linux, Python, REST APIs, Git, scripting, and technical troubleshooting.
  • Hands-on experience with containers and deployment technologies, particularly Docker.
  • Working knowledge of Kubernetes or comparable orchestration platforms.
  • Practical understanding of generative AI, including LLM APIs or model inference, embeddings, vector search, RAG, and agentic AI concepts.
  • Experience integrating and deploying software across on-premises, private cloud, hybrid cloud, or public cloud environments.
  • Understanding of enterprise AI infrastructure and operations, including model serving, inference, GPU workloads, security, identity, networking, monitoring, and production readiness.
  • Ability to participate in pre-sales, technical workshops, proof-of-concepts, solution validation, and early-stage implementations.
  • OpenShift experience.
  • Professional AI/ML experience.
  • Strong communication, problem-solving, ownership, and continuous-learning skills.

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.

NTT DATA Insights

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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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