Senior Cloud Engineer AI Platform

As a Senior Cloud Engineer for the AI Platform you will be heavily involved in designing building and maintaining the underlying platform infrastructure that enables the business to develop deploy and scale autonomous AI agents and workloads. You will collaborate with architects security teams and business stakeholders to engineer and manage a scalable reliable and highly secure foundation across Microsoft Azure and GCP delivering standard templates robust pipelines and platform guardrails that accelerate innovation while ensuring governance and addition as a senior engineer you are expected to support and mentor junior team members through code review lead technical workshops and endorse cloud best practices.

You will be a key driver in delivering the foundational platform capabilities (including vector datastores identity and access controls MCP integrations and FinOps) and acting as a gate for the productionisation of proven PoCs.

Your responsibilities will extend to implementing observability token tracing prompt injection defense and built-in guardrails to proactively resolve issues ensuring all infrastructure adheres to zero-trust security best practices and managing platform stability and availability.

You will act as a crucial point of escalation mentor junior team members and take a lead role in coordinating the resolution of major issues. You will also participate in incident response disaster recovery efforts and work closely with other technology teams to establish a secure enterprise-grade AI launchpad that eliminates shadow IT and speeds up time-to-production for new business solutions.

You are an experienced and proactive engineer with a deep understanding of cloud infrastructure networking architecture automation and security tailored for AI platforms and workloads. You are confident in scoping designing and planning large complex projects translating business requirements into robust secure and pragmatic technical solutions. You excel at managing stakeholder expectations and communicating clearly with senior management.

As a senior figure you are a natural mentor capable of coaching junior team members developing standards and acting as a subject matter expert for cloud and AI infrastructure.

• Azure Foundations Scaffolding & Landing Zones (Cloud Governance AI Guardrails & Best Practice)
• Azure Container Apps AKS and Container Registries
• Vector Datastores Secure Storage Encryption and AI Memory Infrastructure
• Agent Identity Management EntraID RBAC and Zero-Trust Access Controls
• Model Evaluations & Security Controls (Prompt Injection Defense Guardrails)
• AI Observability Token Tracing and FinOps / Cost Controls
• Model Context Protocol (MCP) Integrations & Tooling Pipelines
• Terraform Ansible and Infrastructure-as-Code (IaC) Module Development
• Azure DevOps (CI/CD Security Pipeline Automation)
• Azure Networking (Express Route Virtual Networks ASG / NSG Azure Firewall DNS)
• APIM
• Automation & Scripting
• Google Cloud Platform (GCP)
  
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