Enterprise AI Infrastructure Architect — Lead Scaled AI Platforms

Ntt Data; Napoli; In loco; EUR 90.000 - 130.000; Tempo pieno

Vantaggi offerti da questo lavoro

Diversity and inclusion

Global exposure and collaboration

Work with cutting-edge AI infra

Competitive benefits (as per company)

Descrizione del lavoro

NTT DATA seeks a leader to design enterprise-grade AI infrastructure, enabling training, fine-tuning and deployment at scale. You will shape AI platforms, align hardware, software and managed services, and guide multi-site deployments across sovereign and hybrid environments.

You will architect reference designs on NVIDIA/Dell/Cisco platforms, size GPU clusters, and drive data-center design for high-density power and cooling. A strong consulting and presales background is essential.

Competenze

• Lead end-to-end design of enterprise AI infrastructure solutions.
• Architect reference designs on leading AI platforms.
• Size and validate GPU clusters and storage for model training and inference.
• Define datacenter designs for high-density power and cooling.
• Collaborate with sales for presales activities and client workshops.
• Translate AI ambitions into hardware/platform roadmaps across silicon, systems, storage, fabric, and MLOps.
• Lead integration of compute, storage, networking and AI software across domains.
• Build business cases, TCO and transition roadmaps for cloud-to-private AI migrations.
• Define architectural principles for AI infrastructure governance.
• Develop As-Is, Vision, FMO and To-Be AI platform architectures and transition roadmaps.
• Synthesize silicon trends with client imperatives to craft solutions.
• Contribute to AI Factories knowledge base with reference architectures.
• Significant consulting/presales/architecture experience in large-scale tech services.
• Proven track record delivering production AI platforms from single servers to multi-rack clusters.
• Strong knowledge of AI hardware vendors and partner ecosystems.
• Translate AI workload requirements into hardware BOMs and sizing justifications.
• Extensive client engagement, needs assessment and change management.
• Business development and presales on infrastructure-led deals, including sovereign/GenAI.
• Understand AI infra integration with business processes, apps, data platforms.
• Knowledge of cloud, hybrid and sovereign AI deployment patterns and governance.
• Familiarity with managed service artefacts for AI platform operations.

Mansioni

• Lead end-to-end design of large AI infrastructure solutions for enterprise clients.
• Architect reference designs on NVIDIA, Dell, Cisco platforms and other accelerators.
• Size GPU clusters and storage for foundation-model training, RAG and inference.
• Define datacenter design for high-density power, cooling, and cabling across environments.
• Collaborate with sales to drive presales activities and client workshops.
• Translate AI ambitions into hardware/platform roadmaps across silicon, systems, storage, fabric and MLOps.
• Lead integration of compute, storage, networking, software stack and managed services.
• Build business cases, TCO models and transition roadmaps for cloud-to-private AI migrations.
• Define architectural principles for AI infrastructure governance and operations.
• Develop as-is and to-be AI platform architectures and transition roadmaps.
• Synthesize AI silicon trends with client imperatives to craft evidence-based solutions.
• Contribute to AI Factories knowledge base with reference architectures and sizing tools.

Conoscenze

AI infrastructure design

GPU sizing

Data center design

Presales

Roadmapping

System integration

TCO analysis

Architecture governance

Architecture development

Consulting experience

AI platform delivery

Vendor ecosystem

Client engagement

Presales & BD

Cloud/hybrid governance

Managed services

BOMs and sizing

Formazione

Bachelor in IT/Engineering/CS

Master/PhD advantageous

Vendor certifications in AI infrastructure

Strumenti

NVIDIA DGX

Dell AI Factory

Cisco HyperFabric AI

Descrizione del lavoro

NTT DATA seeks a leader to design enterprise-grade AI infrastructure, enabling training, fine-tuning and deployment at scale. You will shape AI platforms, align hardware, software and managed services, and guide multi-site deployments across sovereign and hybrid environments.

You will architect reference designs on NVIDIA/Dell/Cisco platforms, size GPU clusters, and drive data-center design for high-density power and cooling. A strong consulting and presales background is essential.