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?? to influence large-scale AI platforms and advance responsible, scalable AI solutions.
Retribuzione / BenefitsRemote working
Diversity and inclusion
Global exposure and collaboration
Career growth opportunities
Work with cutting-edge AI infrastructure
Competitive benefits (as per company)
ResponsabilitàLead 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 HyperFabric 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 fondamentaliSignificant 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 GenAI 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/DevSecOps/MLOps
Familiarity with managed service artefacts and deliverables for AI platform operations
Bachelor in Information Technology / Engineering / Computer Science; Master/PhD 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 FlashBlade, NetApp ONTAP AI, Dell PowerScale
Networking: InfiniBand NDR/XDR, RoCEv2, NVIDIA Spectrum-X, NVLink/NVSwitch

📌 Senior Principal Ai Infrastructure Architect (Cuneo)
🏢 Ntt Data
📍 Cuneo