Azure Solution Architect- Agentic AI - Contract

GCS Ltd
Charing Cross, United Kingdom
2 days ago

Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Remote
Charing Cross, United Kingdom

Tech stack

Artificial Intelligence
Azure
Continuous Integration
DevOps
Github
Log Analysis
Role-Based Access Control
Azure
AI Platforms
Kubernetes
Bicep
Azure
Virtual Agents
Terraform
Docker
Key Vault

Job description

Azure Solution Architect/Hands-on Platform Engineer (AI on Azure) Contract | UK Remote/Hybrid

We're looking for a hands-on Azure Solution Architect who can also operate as a Platform Engineer - someone who can design the target architecture and then get stuck in building it. You'll be working with a delivery team deploying AI capabilities on top of Microsoft Azure in a complex enterprise environment, where governance, security controls and platform customisation are the norm.

This is not a slideware role - you will be engineering day-to-day, automating platform build, enabling secure deployment paths, and supporting teams to run AI workloads reliably in production. What you'll be doing (hands-on)

  • Building and engineering Azure platform components to support AI workloads (not just documenting them)
  • Implementing enterprise-ready Azure foundations (networking, identity, security, governance)
  • Deploying and operationalising AI services on Azure (eg Azure OpenAI/Azure ML/Cognitive Services)
  • Creating/maintaining IaC and automation for repeatable environments and deployments
  • Designing + implementing secure landing patterns (policy, RBAC, Key Vault, private endpoints)
  • Supporting CI/CD and release processes for platform + AI services (DevOps enablement)
  • Troubleshooting platform/infra issues and improving reliability/observability

Essential Skills & Experience

  • Strong, demonstrable hands-on engineering experience across Azure (build, automate, troubleshoot)
  • Track record as an Azure Solution Architect delivering in enterprise environments
  • Proven Platform Engineering capability (developer enablement, self-service, automation, standards)
  • Enterprise customisation experience: working around policy constraints, bespoke network/security patterns, governance boards
  • Infrastructure as Code: Terraform and/or Bicep/ARM (modules, state, pipelines, repeatability)
  • Containers are a strong plus: AKS, Kubernetes, Docker, Helm
  • CI/CD experience: Azure DevOps and/or GitHub Actions
  • Strong stakeholder skills - but still an engineer who does the work
  • Azure Landing Zones/CAF-aligned platform builds
  • Observability: Azure Monitor, Log Analytics, App Insights
  • Experience deploying AI services with private networking/security constraints (enterprise patterns)

Start: ASAP Location: UK Remote/Hybrid Duration: Initial 6 months (extensions likely)

Please send across your updated CV if this is of interest

GCS is acting as an Employment Business in relation to this vacancy.

Requirements

  • Strong, demonstrable hands-on engineering experience across Azure (build, automate, troubleshoot)
  • Track record as an Azure Solution Architect delivering in enterprise environments
  • Proven Platform Engineering capability (developer enablement, self-service, automation, standards)
  • Enterprise customisation experience: working around policy constraints, bespoke network/security patterns, governance boards
  • Infrastructure as Code: Terraform and/or Bicep/ARM (modules, state, pipelines, repeatability)
  • Containers are a strong plus: AKS, Kubernetes, Docker, Helm
  • CI/CD experience: Azure DevOps and/or GitHub Actions
  • Strong stakeholder skills - but still an engineer who does the work
  • Azure Landing Zones/CAF-aligned platform builds
  • Observability: Azure Monitor, Log Analytics, App Insights
  • Experience deploying AI services with private networking/security constraints (enterprise patterns)

Apply for this position