Senior Platform Engineer (AI)

VIQU are supporting a large organisation who are seeking an experienced Senior Platform Engineer (AI) to support the build and evolution of a new AI Platform. This role will focus on designing, implementing and maintaining the foundational cloud infrastructure, governance controls and automation capabilities that enable the secure deployment and scaling of AI solutions across the organisation., * Design, build and maintain Azure landing zones, cloud foundations and platform services that support enterprise AI and cloud workloads.

• Develop and maintain Terraform modules, Infrastructure-as-Code standards and automated deployment frameworks.
• Deliver secure, scalable container-based platforms using AKS, Azure Container Apps and Azure Container Registry.
• Implement cloud networking, security, identity and governance controls in line with enterprise best practices and zero-trust principles.
• Support the implementation of AI solutions by introducing platform guardrails, observability, monitoring and operational controls.
• Collaborate with architects, developers and stakeholders whilst mentoring engineers and promoting cloud engineering best practices across the team.

• Proven experience designing and supporting enterprise Microsoft Azure platforms, including Azure Landing Zones, governance frameworks and cloud foundations.
• Strong Terraform and Infrastructure-as-Code expertise, including the development of reusable modules, templates and platform standards.
• Hands-on experience with AKS, Kubernetes, Azure Container Apps and Azure Container Registry.
• Strong Azure networking experience, including Virtual Networks, ExpressRoute, DNS, Private Endpoints, NSGs, ASGs and Azure Firewall.
• Experience delivering CI/CD pipelines, platform automation and cloud engineering best practices using Azure DevOps, scripting and automation tooling.
• Strong understanding of cloud security, Entra ID, RBAC, identity management and zero-trust access control models.
• Experience working with modern AI platform technologies, including areas such as vector databases, MCP integrations, observability, FinOps, GCP and workflow orchestration tools such as n8n., * Amazon Web Services (AWS)
• Automation & Control Systems
• Cloud Services & Infrastructure
• Docker Containerization
• Infrastructure Management
• Kubernetes
• Microsoft Azure
• Python Programming
• Scripting
• Terraform (Infrastructure as Code)