Forward Deployment Engineer – Generation AI & Computing
Listed on 2026-08-24
-
IT/Tech
AI Engineer (Applied/Software), AI Business & Operations, Machine Learning/ ML Engineer, Systems Engineer
Location: Greater London
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.
Make an impact with NTT DATAJoin 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.
- 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
- AI‑powered Augmented Reality (AR)
- Mixed Reality (MR)
- Spatial Computing
- Digital Humans
- Human‑AI Interaction
- AI‑powered Digital Twins
- 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 AI
- Optical Computing
- Photonic Accelerators
- AI Networking
- All‑Photonics Network (APN)
- IOWN (Innovative Optical and Wireless Network)
- Disaggregated AI Infrastructure
- High‑Performance AI Infrastructure
- Neuromorphic Computing
- In‑Memory Computing
- Analog AI Computing
- AI Accelerators
- Heterogeneous Computing
- Edge AI
- Distributed AI
- Green AI and Energy‑Efficient AI
- 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
- 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…
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search: