Security Architect - AI Platform

• Building security reference architectures and blueprints for infrastructure that hosts AI/ML workloads
  
• Setting architectural standards and reusable security patterns across cloud, hybrid and on-prem environments
  
• Securing traffic between applications, models, inference endpoints, APIs and data platforms
  
• Applying Zero Trust and least-privilege principles at the network and infrastructure layers
  
• Running threat modelling and technical security reviews of platforms and infrastructure designs
  
• Turning security requirements into automated guardrails delivered through IaC and CI/CD
  
• Advising on the selection and integration of network, cloud and AI security tooling
  
• Working with platform, cloud, DevOps, network, data and ML engineering teams
  
• Acting as a technical authority and mentor for other architects and engineers
  

Requirements

• A solid background in infrastructure and network security
  
• Hands-on experience designing secure architectures on at least one major public cloud (Azure, AWS or GCP)
  
• Practical knowledge of AI gateway / LLM gateway solutions
  
• Good understanding of Kubernetes and container platform security
  
• IAM expertise at the infrastructure level: workload identity, service-to-service authentication, secrets management
  
• A design approach grounded in Zero Trust, defence-in-depth and secure-by-design
  
• Comfort working at enterprise architecture level while still going deep on technical details such as firewall rules, gateway configuration and traffic flows
  
• Familiarity with AI-specific infrastructure risks, including:
  
• model hosting
  
• inference security
  
• workload isolation
  
• access to models and data
  
• integration with enterprise systems
  
• use of external/third-party models
  
• A track record of driving architecture decisions across multiple engineering teams
  
• Fluent English (C1+)
  

Benefits