Lead Of Ai Infrastructure Platform

AstraZeneca

Ai hardware-software co-design
Llmops and agentic infrastructure
Performance engineering for distributed training
You will lead an elite team to transform raw compute into a strategic asset, moving from Proof-of-Concept to Proof-of-Impact

Job Summary

  • You will lead an elite team to transform raw compute into a strategic asset, moving from Proof-of-Concept to Proof-of-Impact.
  • You will be the primary authority on our AI hardware-software co-design, ensuring our R&D teams can train, fine-tune, and deploy frontier models at unprecedented scale and efficiency.
  • Build and mentor a "Full-Stack" infrastructure team capable of handling everything from high-speed InfiniBand networking to Kubernetes-based model serving.

Matching Summary

You will lead an elite team to transform raw compute into a strategic asset, moving from Proof-of-Concept to Proof-of-Impact.

Skills & Requirements

Must-have

  • AI hardware-software co-design
  • LLMOps and Agentic Infrastructure
  • Performance Engineering for distributed training
  • Sustainability and Green AI implementation
  • Vendor Strategy for hardware/cloud
  • High-speed InfiniBand networking
  • Kubernetes-based model serving

Nice-to-have

  • Entrepreneurial mindset
  • Thinking big
  • Working together
  • Transforming raw compute into strategic asset

Key Requirements

  • 10+ years in Infrastructure/Systems Engineering
  • 4+ years leading AI-focused platforms
  • Expertise in GPU cluster management
  • Deep knowledge of Chinese AI Landscape
  • Hands-on experience with FinOps for AI
  • Proficiency in PyTorch, Ray, Kubernetes
  • Systems Architect approach

Work Rights

Not specified

Tailored Resume

Cover Letter