Senior AI Infrastructure Architect – Enterprise-Scale Lead

Ntt Data; Cuneo; In loco; EUR 120.000 - 180.000; Tempo pieno

Vantaggi offerti da questo lavoro

Diversity and inclusion

Global exposure and collaboration

Work with cutting-edge AI infra

Competitive benefits

Descrizione del lavoro

NTT DATA is seeking a senior architect to lead the design of enterprise-grade AI infrastructure, shaping training, fine-tuning and deployment at scale. You will own reference architectures across hardware, software and managed services, coordinating multi-site deployments and guiding complex projects from concept to implementation.

The role emphasizes collaboration with sales, presales workshops, and development of transition roadmaps for cloud-to-private AI migrations and sovereign deployments.

Competenze

• Bachelor in Information Technology / Engineering / Computer Science; Master/PhD advantageous
• Significant multinational consulting experience across geographies
• Knowledge of AI hardware ecosystems (NVIDIA, Dell, Cisco, HPE) and scalable AI platforms

Mansioni

• 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 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

Conoscenze

Strategic thinking

Strong communication

Business development

Client engagement

Leadership

Formazione

Bachelor in IT/Engineering/CS

Master/PhD advantageous

Strumenti

NVIDIA DGX

Dell AI Factory

Cisco HyperFabric AI

NVIDIA Hopper/Blackwell

NVIDIA NVLink/NVSwitch

Descrizione del lavoro

NTT DATA is seeking a senior architect to lead the design of enterprise-grade AI infrastructure, shaping training, fine-tuning and deployment at scale. You will own reference architectures across hardware, software and managed services, coordinating multi-site deployments and guiding complex projects from concept to implementation.

The role emphasizes collaboration with sales, presales workshops, and development of transition roadmaps for cloud-to-private AI migrations and sovereign deployments.