Ai Platform Architect

Unisys UK

Monthly gross 44,200 huf cafeteria; home office al...
Hybrid
Ai/ml platform architecture and llm pipelines
Hybrid cloud infrastructure on aws azure gcp
Api strategy governance and integration patterns
Unisys UK is seeking an AI Platform Architect to lead enterprise architecture and design cloud-native and hybrid infrastructures across multiple platforms. The role requires significant experience in AI/ML platforms and a strong background in governance, security, and compliance in regulated environments

Job Summary

  • This role requires leading enterprise architecture and defining API strategies for complex multi-stakeholder environments.
  • The successful candidate will architect and operate AI/ML platforms including LLM pipelines and GPU infrastructure across hybrid clouds.
  • Benefits include a hybrid working model, private health insurance, and a supportive collaborative team culture.

Matching Summary

Match Score: 85

Unisys UK is seeking an AI Platform Architect to lead enterprise architecture and design cloud-native and hybrid infrastructures across multiple platforms. The role requires significant experience in AI/ML platforms and a strong background in governance, security, and compliance in regulated environments.

Salary

Monthly gross 44,200 HUF cafeteria; Home office allowance; Private Health Insurance (Generali Premium Package)

Skills & Requirements

Must-have

  • AI/ML platform architecture and LLM pipelines
  • Hybrid cloud infrastructure on AWS Azure GCP
  • API strategy governance and integration patterns
  • DevSecOps CI/CD and Infrastructure as Code
  • GPU infrastructure and agentic orchestration

Nice-to-have

  • Board-level advisory and strategic leadership
  • Vendor evaluation and technology selection
  • Engineering team mentorship and capability uplift
  • Balancing innovation with operational stability

Key Requirements

  • Significant experience in enterprise architecture or platform engineering
  • Deep experience designing complex cloud and hybrid-scale platforms
  • Strong background in AI/ML platforms and data architecture
  • Experience operating at senior stakeholder and board level
  • Demonstrable leadership of engineering teams in regulated environments

Work Rights

Not specified

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