Senior AI Platform Architect - Infra, MLOps & Governance

RadNet, Inc.; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

World Wide Technology is seeking an Enterprise Architect for AI who will own end-to-end delivery of AI/ML engagements, from silicon and data center design to software and MLOps governance. This hands-on role spans GPU infrastructure, high-performance networking, model training, and responsible AI frameworks.

The candidate will lead technical delivery teams, chair governance boards, mentor architects, and shape WWT's AI delivery strategy across client engagements.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
• Advanced degree in CS/AI/ML is beneficial but not required with strong hands-on depth.
• Demonstrated leadership of large-scale AI or HPC infrastructure programmes.

Responsibilities

• Own end-to-end delivery of AI/ML engagements, from architecture through go-live.
• Chair Architecture Review Board (ARB) and Technical Design Authority (TDA) sessions.
• Design AI infrastructure including GPU compute, interconnects, storage and orchestration.

Skills

AI/ML infra

GPU architectures

High-performance networking

MLOps

Governance

Education

Bachelor's degree in CS/Engineering

MS in CS/AI/ML (beneficial)

Tools

Kubernetes

Terraform

Prometheus/Grafana

NVIDIA GPUs

Job description

World Wide Technology is seeking an Enterprise Architect for AI who will own end-to-end delivery of AI/ML engagements, from silicon and data center design to software and MLOps governance. This hands-on role spans GPU infrastructure, high-performance networking, model training, and responsible AI frameworks.

The candidate will lead technical delivery teams, chair governance boards, mentor architects, and shape WWT's AI delivery strategy across client engagements.