Senior Principal Ai Infrastructure Architect

pIn 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. /pulliDiversity and inclusion /liliGlobal exposure and collaboration /liliWork with cutting-edge AI infrastructure /liliCompetitive benefits (as per company) /liliLead end-to-end design of large, complex AI infrastructure solutions for enterprise and sovereign AI clients /liliArchitect reference designs on NVIDIA DGX/HGX, Dell AI Factory, Cisco HyperFabric AI and other accelerated compute platforms /liliSize and validate GPU clusters and storage for foundation-model training, fine-tuning, RAG, inference /liliDefine datacenter design for high-density power, cooling, and cabling across on-prem, colo and sovereign cloud /liliCollaborate with sales to drive presales activities and client workshops /liliTranslate AI ambitions into a hardware/platform roadmap across silicon, systems, storage, fabric, and MLOps /liliLead integration of compute, storage, networking, AI software stack, and managed-service models across domains /liliBuild business cases, TCO and transition roadmaps for cloud-to-private AI migrations and sovereign deployments /liliDefine architectural principles for AI infrastructure and governance /liliDevelop As-Is, Vision, FMO and To-Be AI platform architectures and transition roadmaps /liliSynthesize AI silicon trends with client imperatives to craft compelling, evidence-based solutions /liliContribute to AI Factories knowledge base with reference architectures and sizing tools /liliSignificant experience in a consulting/presales/architecture role in a large-scale technology services environment /liliProven track record designing and delivering production AI platforms from single multi-GPU servers to multi-rack training clusters /liliStrong working knowledge of AI hardware vendors and partner ecosystems /liliAbility to translate AI workload requirements into hardware BOMs and sizing justifications /liliExtensive client engagement, needs assessment, and change management experience /liliBusiness development and presales experience on infrastructure-led deals, including sovereign AI or GenAI programs /liliUnderstanding of AI infrastructure integration with business processes, apps, and data platforms /liliKnowledge of cloud, hybrid and sovereign AI deployment patterns and governance for Agile/DevSecOps/MLOps /liliFamiliarity with managed service artefacts and deliverables for AI platform operations /liliBachelor in Information Technology / Engineering / Computer Science; Master/PhD advantageous /liliVendor certifications in AI infrastructure desirable (e.g., NVIDIA, Dell, Cisco, HPE, Run:ai) /liliScaled Agile certification advantageous /liliSignificant multinational consulting experience and ability to work across geographies /liliStrong communication and strategic-thinking skills /liliProven ability to build CAPEX vs OPEX models and budgets /liliexcellent written and oral communication /lilistrong systems-thinking /lilistrategic-thinking /liliAI hardware: NVIDIA Hopper/Blackwell, AMD MI300/MI325, Intel Gaudi 3; CPU platforms: Intel Xeon, AMD EPYC, NVIDIA Grace /liliNetworking: InfiniBand NDR/XDR, RoCEv2, NVIDIA Spectrum-X, NVLink/NVSwitch /li /ul #J-18808-Ljbffr