Senior Principal AI Infrastructure Architect

Salary: £63,000 - 103,000 per year

Requirements:

• We require significant experience in a consulting, presales or architecture role within a large-scale, preferably multi-national, technology services environment, with a track record of leading AI infrastructure pursuits.
• We require demonstrable experience designing and delivering production AI platforms, from single multi-GPU servers through to multi-rack training clusters and inference factories.
• We require strong working knowledge of the AI hardware vendor landscape and how to position partner ecosystems competitively.
• We require proven ability to translate AI workload requirements into accurate hardware bills of materials and sizing justifications.
• We require significant client engagement and consulting experience, including client needs assessment, change management and the ability to identify whitespace for follow-on AI infrastructure and managed-services work.
• We require significant business development and presales experience on infrastructure-led deals, ideally including sovereign AI, AI Factory or regulated-industry GenAI programmes.
• We require strong understanding of how AI infrastructure integrates with business processes, applications, data platforms and existing enterprise architecture.
• We require a bachelors degree or equivalent in Information Technology, Engineering, Computer Science or a related field; a masters degree or PhD is advantageous.
• We prefer vendor and technology certifications in AI infrastructure, and scaled agile certification is advantageous.

Responsibilities:

• We lead the end-to-end design of large, complex AI infrastructure solutions covering accelerated compute, CPU host platforms, high-throughput storage tiers and AI fabric for enterprise, sovereign AI and AI Factory clients.
• We architect reference designs built on leading accelerated compute platforms, balancing single-node performance with cluster-scale efficiency.
• We size and validate GPU clusters against real workloads using the appropriate combination of fabrics and tiered storage.
• We define supporting datacenter design, including high-density power, liquid cooling, structured cabling for AI fabrics and modular deployment models across on-prem, colo and sovereign-cloud footprints.
• We work closely with the sales team to drive the presales process for AI infrastructure pursuits, including client discovery, technical workshops, proposal writing, executive presentations and bid defence.
• We translate clients AI ambitions and business outcomes into a hardware and platform roadmap, positioning our end-to-end portfolio to land service-led AI solutions.
• We lead integration of compute, storage, networking, the AI software stack and managed-service operating models across multiple domains, delivery units and geographies.
• We build business cases, TCO and unit-economics models and end-to-end transition roadmaps for cloud-to-private AI migrations and sovereign AI deployments.
• We define architectural principles for AI infrastructure and apply them to influence architectural outcomes and governance.
• We develop As-Is, Vision, FMO and To-Be AI platform architectures, identify gaps and develop transition roadmaps.
• We synthesise current and future trends in AI silicon, memory hierarchies, interconnects and AI software stacks with client strategic imperatives to create compelling, evidence-based solutions.
• We contribute to our AI Factories knowledge base by sharing reference architectures, sizing tools and lessons learned with internal teams and clients.

Technologies:

• AI
• Architect
• Cloud
• Fabric
• Hardware
• Liquid
• Security
• NodeJS
• Cisco
• CUDA
• DDN
• DevSecOps
• Ethernet
• Fine-tuning
• InfiniBand
• Kubeflow
• Kubernetes
• LLM
• MLflow
• MLOps
• Nexus
• Nutanix
• OpenShift
• RAG
• vLLM

More:

We are NTT DATA, 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 worlds leading AI and digital infrastructure providers, with capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations move confidently and sustainably into the digital future. We are a Global Top Employer with experts in more than 50 countries, and we offer access to a robust ecosystem of innovation centers and established and start-up partners. This is a remote working role within our Sales and Pre-Sales function, and we are committed to diversity, inclusion and equal opportunity across our global team.

last updated 36 week of 2026