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Senior AI Infra Architect: Scale, Secure & Orchestrate AI

Singtel Group

Singapore

On-site

SGD 110,000 - 150,000

Full time

6 days ago
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Job summary

A leading telecommunications company in Singapore is seeking a Lead AI Infrastructure Architect to design and oversee the AI infrastructure for model training and inference. The ideal candidate will have more than 8 years in infrastructure architecture and at least 3 years in a senior role. Responsibilities include overseeing GPU and CPU capacity planning and collaborating with security teams. The role demands strong experience in AI architecture, cloud environments, and container orchestration, making it a critical position for future AI capabilities.

Benefits

Innovative work environment
Growth opportunities
Collaboration with industry experts

Qualifications

  • More than 8 years of experience in infrastructure, on-premise and cloud architecture.
  • At least 3 years in a senior architect role designing large scale platforms or AI infrastructure.
  • Strong knowledge of AI infrastructure including model hosting and distributed inference.

Responsibilities

  • Lead the design of end to end AI infrastructure architecture for model training and inference.
  • Oversee infrastructure capacity planning for GPU and CPU clusters.
  • Collaborate with cyber and information security teams.

Skills

Infrastructure architecture
Cloud platform design
Distributed systems
Container orchestration
AI system architecture
Strong communication

Education

Bachelor or Master degree in Computer Science, Engineering, Information Systems

Tools

Red Hat OpenShift
Ray
Kubeflow
MLflow
Job description
A leading telecommunications company in Singapore is seeking a Lead AI Infrastructure Architect to design and oversee the AI infrastructure for model training and inference. The ideal candidate will have more than 8 years in infrastructure architecture and at least 3 years in a senior role. Responsibilities include overseeing GPU and CPU capacity planning and collaborating with security teams. The role demands strong experience in AI architecture, cloud environments, and container orchestration, making it a critical position for future AI capabilities.
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