Senior Principal AI Infrastructure Architect

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Your day at NTT DATA: The Senior Principal AI Infrastructure Architect is a highly skilled and advanced subject matter expert, responsible for leading the design of complex AI platform and managed-service solutions and driving the strategic vision and direction for the company's largest enterprise clients. The role sits at the centre of NTT DATA's AI Factories practice and is focused on the hardware foundations — GPU and accelerator compute, host CPU platforms, high-performance storage and AI fabric — that underpin enterprise-scale training, fine-tuning and inference workloads.

Key Responsibilities:

• Lead the end-to-end design of large, complex AI infrastructure solutions — covering accelerated compute, CPU host platforms, high-throughput storage tiers and lossless AI fabric — for enterprise, sovereign AI and AI Factory clients.
• Architect reference designs built on NVIDIA DGX/HGX SuperPOD, Dell AI Factory with NVIDIA, Cisco Nexus HyperFabric AI, HPE / Lenovo / Supermicro accelerated compute and equivalent platforms.
• Size and validate GPU clusters against real workloads using the right combination of NVLink/NVSwitch domains, InfiniBand NDR/XDR or Ultra Ethernet / NVIDIA Spectrum-X fabrics and tiered NVMe and parallel storage.
• Define the supporting datacenter design: high-density power, direct-to-chip and rear-door liquid cooling, structured cabling for AI fabrics and modular deployment models across on-prem, colo and sovereign-cloud footprints.
• Work closely with the sales team to drive the presales process for AI infrastructure pursuits.
• Translate clients' AI ambitions and business outcomes into a hardware and platform roadmap.
• Lead integration of compute, storage, networking, the AI software stack and managed-service operating models across multiple domains, delivery units and geographies.
• Build business cases, TCO and unit-economics models and end-to-end transition roadmaps for cloud-to-private AI migrations and sovereign AI deployments.
• Define architectural principles for AI infrastructure and apply them to influence architectural outcomes and governance.
• Develop As-Is, Vision, FMO and To-Be AI platform architectures, identify gaps and develop transition roadmaps.
• Synthesise current and future trends in AI silicon, memory hierarchies, interconnects and AI software stacks with client strategic imperatives.
• Contribute to NTT DATA's AI Factories knowledge base by sharing reference architectures, sizing tools and lessons learned with internal teams and clients.

Knowledge and Attributes:

• Deep, hands-on knowledge of AI hardware: GPU and accelerator portfolios, host CPU platforms, system topologies and how each choice maps to specific AI workloads.
• Strong understanding of AI-class storage and the I/O patterns of large-scale training and inference.
• Solid command of AI networking and fabric design for rail-optimised and fat-tree topologies.
• Working knowledge of the AI software and orchestration stack.
• Familiarity with datacenter facilities engineering for AI workloads.
• Excellent written and oral communication skills.
• Strong systems-thinking and strategic-thinking skills.
• Strong business financial skills.
• Knowledge of cloud, hybrid and sovereign AI deployment patterns.
• Significant knowledge of core Managed Service portfolio artefacts, techniques, demos, tools and deliverables.

Academic Qualifications and Certifications:

• Bachelor's degree or equivalent in Information Technology, Engineering, Computer Science or a related field.
• Master's or PhD advantageous.
• Vendor and technology certifications in AI infrastructure highly desirable.
• Scaled Agile certification advantageous.

Required experience:

• Significant experience in a consulting, presales or architecture role within a large-scale technology services environment.
• Demonstrable experience designing and delivering production AI platforms.
• Strong working knowledge of the AI hardware vendor landscape.
• Proven ability to translate AI workload requirements into accurate hardware bills of materials and sizing justifications.
• Significant client engagement and consulting experience.
• Significant business development and presales experience on infrastructure-led deals.
• Strong understanding of how AI infrastructure integrates with business processes, applications, data platforms and existing enterprise architecture.

Workplace type: Remote 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.

Equal Opportunity Employer: NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity.