Senior Principal AI Infrastructure Architect

Overview

In this role you will lead the design of enterprise-grade AI infrastructure, shaping how clients train, fine-tune and deploy AI at scale. You will sit at the core of NTT DATA's AI Factories practice, aligning hardware, software, and managed services with client outcomes. You’ll drive architectural decisions, coordinate with cross-functional teams, and guide complex, multi-site deployments. This is a机会 to influence large-scale AI platforms and advance responsible, scalable AI solutions.

Retribuzione / Benefits

Remote working

Diversity and inclusion

Global exposure and collaboration

Career growth opportunities

Work with cutting-edge AI infrastructure

Competitive benefits (as per company)

Responsabilità

Lead end-to-end design of large, complex AI infrastructure solutions for enterprise and sovereign AI clients

Architect reference designs on NVIDIA DGX/HGX, Dell AI Factory, Cisco Hyper

Fabric AI and other accelerated compute platforms

Size and validate GPU clusters and storage for foundation-model training, fine-tuning, RAG, inference

Define datacenter design for high-density power, cooling, and cabling across on-prem, colo and sovereign cloud

Collaborate with sales to drive presales activities and client workshops

Translate AI ambitions into a hardware/platform roadmap across silicon, systems, storage, fabric, and MLOps

Lead integration of compute, storage, networking, AI software stack, and managed-service models across domains

Build business cases, TCO and transition roadmaps for cloud-to-private AI migrations and sovereign deployments

Define architectural principles for AI infrastructure and governance

Develop As-Is, Vision, FMO and To-Be AI platform architectures and transition roadmaps

Synthesize AI silicon trends with client imperatives to craft compelling, evidence-based solutions

Contribute to AI Factories knowledge base with reference architectures and sizing tools

Requisiti fondamentali

Significant experience in a consulting/presales/architecture role in a large-scale technology services environment

Proven track record designing and delivering production AI platforms from single multi-GPU servers to multi-rack training clusters

Strong working knowledge of AI hardware vendors and partner ecosystems

Ability to translate AI workload requirements into hardware BOMs and sizing justifications

Extensive client engagement, needs assessment, and change management experience

Business development and presales experience on infrastructure-led deals, including sovereign AI or Gen

AI programs

Understanding of AI infrastructure integration with business processes, apps, and data platforms

Knowledge of cloud, hybrid and sovereign AI deployment patterns and governance for Agile/Dev

Sec

Ops/MLOps

Familiarity with managed service artefacts and deliverables for AI platform operations

Bachelor in Information Technology / Engineering / Computer Science; Master/Ph

D advantageous

Vendor certifications in AI infrastructure desirable (e.g., NVIDIA, Dell, Cisco, HPE, Run:ai)

Scaled Agile certification advantageous

Significant multinational consulting experience and ability to work across geographies

Strong communication and strategic-thinking skills

Proven ability to build CAPEX vs OPEX models and budgets

excellent written and oral communication

strong systems-thinking

strategic-thinking

AI hardware: NVIDIA Hopper/Blackwell, AMD MI300/MI325, Intel Gaudi 3; CPU platforms: Intel Xeon, AMD EPYC, NVIDIA Grace

AI storage: VAST, WEKA, DDN EXAScaler, Pure Flash

Blade, Net

App ONTAP AI, Dell Power

Scale

Networking: Infini

Band NDR/XDR, Ro

CEv2, NVIDIA Spectrum-X, NVLink/NVSwitch