Senior AI Infrastructure Architect — Enterprise Platforms

Ntt Data

Genova

In loco

EUR 140.000 - 190.000

Tempo pieno

3 giorni fa
Candidati tra i primi
Generatore di candidature

Una candidatura apposita per questa offerta — un curriculum e una lettera di presentazione personalizzati, perfettamente in linea con l'annuncio.

Supera i filtri ATS

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 seeks a Senior Principal AI Infrastructure Architect to lead end-to-end design of enterprise AI infrastructure. You will shape training, fine-tuning and deployment at scale, coordinate across silicon, systems, storage and MLOps, and drive multi-site deployments for sovereign AI programs.

You will translate AI ambitions into hardware platform roadmaps, guide complex implementations with cross-functional teams, and define governance principles for responsible, scalable AI infrastructure.

Competenze

  • Bachelor’s degree in Information Technology, Engineering or Computer Science.
  • Advanced degree is advantageous for architecture and research responsibilities.
  • Experience in consulting/presales or large-scale technology services is preferred.

Mansioni

  • Lead design of enterprise-grade AI infrastructure and reference architectures.
  • Coordinate multi-site deployments and align hardware, software and managed services.
  • Develop TCO analyses, transition roadmaps and migration strategies for AI platforms.

Conoscenze

AI infrastructure design
Presales & consulting
GPU sizing & HPC
Architectural governance
Cross-functional leadership

Formazione

Bachelor's in IT/Engineering
Master/PhD advantageous

Strumenti

NVIDIA DGX/HGX
InfiniBand/NVLink
MLOps platforms

Descrizione del lavoro

NTT DATA seeks a Senior Principal AI Infrastructure Architect to lead end-to-end design of enterprise AI infrastructure. You will shape training, fine-tuning and deployment at scale, coordinate across silicon, systems, storage and MLOps, and drive multi-site deployments for sovereign AI programs.

You will translate AI ambitions into hardware platform roadmaps, guide complex implementations with cross-functional teams, and define governance principles for responsible, scalable AI infrastructure.

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