Forward Deployment Engineer – Next Generation AI & Computing

Posted Yesterday
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Holme, Huntingdonshire, Cambridgeshire, England, GBR
In-Office
Senior level
Information Technology • Business Intelligence • Consulting
The Role
Designs and deploys production-ready AI solutions and proofs of value for enterprise customers. Evaluates emerging technologies, translates research into scalable architectures, and develops innovation roadmaps. The role spans advanced AI, quantum and photonic computing, spatial intelligence, next-generation infrastructure, distributed systems, cloud-native engineering, MLOps, security, governance, and automation while engaging stakeholders and delivering measurable business outcomes.
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.

We are looking for a Forward Deployment Engineer specializing in Next Generation AI & Computing to help customers evaluate, adopt, and deploy emerging AI technologies that will define the next generation of intelligent enterprise systems. You will work directly with customers to identify strategic opportunities, assess emerging technologies, and transform cutting-edge innovations into secure, scalable, production-ready AI solutions.

Key Responsibilities

  • Engage with customers to identify future technology opportunities and define innovation roadmaps aligned with business objectives.

  • Assess customer environments and identify where emerging AI and computing technologies can create measurable business value.

  • Design, develop, and deploy production-ready AI solutions and rapid Proofs of Value (PoVs) using next-generation AI architectures and computing platforms.

  • Evaluate emerging technologies, research trends, and technology maturity to recommend the optimal solution for each customer.

  • Translate advanced research into practical enterprise architectures and scalable production deployments.

  • Leverage AI-assisted development and intelligent engineering practices to accelerate innovation while maintaining engineering excellence.

  • Ensure solutions are secure by design, scalable, resilient, and aligned with enterprise governance.

Areas of Expertise

Artificial General Intelligence & Future AI

  • Artificial General Intelligence (AGI)

  • Agentic AI and Autonomous AI Systems

  • Frontier AI Models

  • Multi-modal AI

  • Adaptive and Self-Learning AI

  • Non-Stationary AI and Continual Learning

  • AI-native Software Architectures

Extended Reality & Spatial Intelligence

  • AI-powered Augmented Reality (AR)

  • Mixed Reality (MR)

  • Spatial Computing

  • Digital Humans

  • Human-AI Interaction

  • AI-powered Digital Twins

Quantum AI

  • Quantum Machine Learning (QML)

  • Hybrid Quantum-Classical AI

  • Quantum Optimization

  • Variational Quantum Algorithms (VQAs)

  • Quantum-enhanced AI

  • AI for Quantum Systems

  • Quantum-ready Enterprise Architectures

Photonic & Next-Generation AI Infrastructure

  • Photonic AI

  • Optical Computing

  • Photonic Accelerators

  • AI Networking

  • All-Photonics Network (APN)

  • IOWN (Innovative Optical and Wireless Network)

  • Disaggregated AI Infrastructure

  • High-Performance AI Infrastructure

Next-Generation Computing

  • Neuromorphic Computing

  • In-Memory Computing

  • Analog AI Computing

  • AI Accelerators

  • Heterogeneous Computing

  • Edge AI

  • Distributed AI

  • Green AI and Energy-Efficient AI

Future AI Ecosystems

  • AI-native Enterprise Platforms

  • AI Infrastructure Orchestration

  • AI Observability

  • AI Trust, Governance, and Safety

  • Post-Quantum Cryptography (PQC) and Post-Quantum AI Security

  • Digital Twins

  • Autonomous Enterprise Systems

Requirements

  • 5+ years of experience designing and delivering innovative AI solutions in customer-facing engineering, architecture, research, or Forward Deployment Engineering roles.

  • Proven experience evaluating emerging technologies and translating research into production-ready enterprise solutions.

  • Strong expertise in AI architectures, distributed systems, cloud-native engineering, and enterprise software development.

  • Demonstrated ability to rapidly learn, evaluate, prototype, and industrialize emerging technologies.

  • Broad knowledge across quantum computing, photonic computing, AI infrastructure, advanced networking, and next-generation enterprise architectures.

  • Experience with containerization, Kubernetes, cloud-native platforms, CI/CD, MLOps/LLMOps, infrastructure automation, and secure-by-design engineering.

  • Proven ability to leverage AI-assisted development, intelligent coding agents, and automation to accelerate delivery.

  • Excellent consulting, communication, stakeholder management, and strategic thinking skills.

What Success Looks Like

You are a technology visionary and hands-on engineer who bridges cutting-edge research with enterprise deployment. You rapidly identify emerging technologies with transformational potential, assess their business value, and design innovative, production-ready solutions that accelerate AI-native transformation. You are technology-agnostic, continuously learning, and able to combine AI, quantum computing, photonic infrastructure, advanced networking, next-generation computing, and future AI ecosystems into customized solutions that deliver measurable business outcomes.

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

  • 5+ years designing and delivering innovative AI solutions in customer-facing engineering, architecture, research, or forward deployment roles
  • Experience evaluating emerging technologies and translating research into production-ready enterprise solutions
  • Strong expertise in AI architectures, distributed systems, cloud-native engineering, and enterprise software development
  • Ability to rapidly learn, evaluate, prototype, and industrialize emerging technologies
  • Broad knowledge of quantum computing, photonic computing, AI infrastructure, advanced networking, and next-generation enterprise architectures
  • Experience with containerization, Kubernetes, cloud-native platforms, CI/CD, MLOps or LLMOps, infrastructure automation, and secure-by-design engineering
  • Ability to leverage AI-assisted development, intelligent coding agents, and automation to accelerate delivery
  • Excellent consulting, communication, stakeholder management, and strategic thinking 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.

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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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