21 set - Volpiano
Ntt Data
OverviewIn 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 / BenefitsRemote workingDiversity and inclusionGlobal exposure and collaborationCareer growth opportunitiesWork with cutting-edge AI infrastructureCompetitive benefits (as per company)ResponsabilitàLead end-to-end design of large, complex AI infrastructure solutions for enterprise and sovereign AI clientsArchitect reference designs on NVIDIA DGX/HGX, Dell AI Factory, Cisco HyperFabric AI and other accelerated compute platformsSize and validate GPU clusters and storage for foundation-model training, fine-tuning, RAG, inferenceDefine datacenter design for high-density power, cooling, and cabling across on-prem, colo and sovereign cloudCollaborate with sales to drive presales activities and client workshopsTranslate AI ambitions into a hardware/platform roadmap across silicon, systems, storage, fabric, and MLOpsLead integration of compute, storage, networking, AI software stack, and managed-service models across domainsBuild business cases, TCO and transition roadmaps for cloud-to-private AI migrations and sovereign deploymentsDefine architectural principles for AI infrastructure and governanceDevelop As-Is, Vision, FMO and To-Be AI platform architectures and transition roadmapsSynthesize AI silicon trends with client imperatives to craft compelling,
evidence-based solutionsContribute to AI Factories knowledge base with reference architectures and sizing toolsRequisiti fondamentaliSignificant experience in a consulting/presales/architecture role in a large-scale technology services environmentProven track record designing and delivering production AI platforms from single multi-GPU servers to multi-rack training clustersStrong working knowledge of AI hardware vendors and partner ecosystemsAbility to translate AI workload requirements into hardware BOMs and sizing justificationsExtensive client engagement, needs assessment, and change management experienceBusiness development and presales experience on infrastructure-led deals, including sovereign AI or GenAI programsUnderstanding of AI infrastructure integration with business processes, apps, and data platformsKnowledge of cloud, hybrid and sovereign AI deployment patterns and governance for Agile/DevSecOps/MLOpsFamiliarity with managed service artefacts and deliverables for AI platform operationsBachelor in Information Technology / Engineering / Computer Science; Master/PhD advantageousVendor certifications in AI infrastructure desirable (e.G., NVIDIA, Dell, Cisco, HPE, Run:ai)Scaled Agile certification advantageousSignificant multinational consulting experience and ability to work across geographiesStrong communication and strategic-thinking skillsProven ability to build CAPEX vs OPEX models and budgetsexcellent written and oral communicationstrong systems-thinkingstrategic-thinkingAI hardware: NVIDIA Hopper/Blackwell, AMD MI300/MI325, Intel Gaudi 3; CPU platforms: Intel Xeon, AMD EPYC, NVIDIA GraceAI storage: VAST, WEKA, DDN EXAScaler, Pure FlashBlade, NetApp ONTAP AI, Dell PowerScaleNetworking: InfiniBand NDR/XDR, RoCEv2, NVIDIA Spectrum-X, NVLink/NVSwitch
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