Ai Platform Architect

Unisys

Monthly gross 44,200 huf cafeteria; home office al...
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Ai/ml platform architecture and llm pipelines
Cloud infrastructure on aws azure gcp
Api strategy and governance frameworks
** Unisys is seeking an AI Platform Architect to lead enterprise and solution architecture, focusing on AI/ML platforms and cloud infrastructure. The ideal candidate will possess extensive experience in architecture leadership, governance, and technology strategy, capable of working in complex environments. **

Job Summary

  • The role involves leading enterprise architecture across complex environments from greenfield platforms to legacy transformations.
  • Candidates must design and deliver scalable hybrid infrastructure while establishing robust DevSecOps practices.
  • The position offers a supportive team environment with private health insurance and learning opportunities.

Matching Summary

Match Score: 75

** Unisys is seeking an AI Platform Architect to lead enterprise and solution architecture, focusing on AI/ML platforms and cloud infrastructure. The ideal candidate will possess extensive experience in architecture leadership, governance, and technology strategy, capable of working in complex 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
  • Cloud infrastructure on AWS Azure GCP
  • API strategy and governance frameworks
  • DevSecOps and Infrastructure as Code
  • GPU infrastructure and model deployment
  • Regulatory compliance GDPR PCI DSS ISO27001

Nice-to-have

  • Board-level advisory experience
  • Vendor evaluation and procurement skills
  • Mentoring engineering teams
  • Agile and SAFe framework knowledge
  • Domain-Driven Design expertise

Key Requirements

  • Significant experience in enterprise architecture or platform engineering
  • Proven track record designing complex cloud and hybrid platforms
  • Deep background in AI/ML platforms and data architecture
  • Experience operating at senior stakeholder and board level
  • Strong leadership of engineering teams in multi-stakeholder environments
  • Experience working within regulated environments with security requirements

Work Rights

Not specified

Tailored Resume

Cover Letter