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# Senior AI Engineer - Microsoft Azure (Contract)

- **Company:** AND Digital
- **Location:** Leeds, UK
- **Experience:** Expert
- **Salary:** £47,576.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Microsoft Azure, Cloud Computing, Databases, Continuous Integration, DevOps, Domain Name System (DNS), Github, Key Management, Log Analysis, YAML, Cloud Monitoring, Multi-Agent Systems, Containerization, Infrastructure Automation Frameworks, Azure AKS, Virtual Agents, Api Gateway, Terraform, Docker, Microservices
- **Published:** August 26, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5855630045

## About the Role

* Terraform Expertise: 2-4 years writing production-grade, modular Terraform code targeting Azure infrastructure.
 * DevOps & Automation: Strong experience building YAML pipelines in Azure DevOps or GitHub Actions, including secrets management (Azure Key Vault) and automated environment provisioning.
 * AI Tooling & MCP: Hands-on experience or working knowledge of Model Context Protocol (MCP) architecture, agent orchestration frameworks (e.g., Semantic Kernel, AutoGen, LangChain), and API gateway patterns.
 * Containerization: Experience deploying containerized microservices using Azure Container Apps (ACA) or Azure Kubernetes Service (AKS).
 * Cloud Fundamentals: Solid background in Azure networking (VNets, Private Endpoints, DNS), Entra ID access controls, and Docker.
 * Certifications (Preferred): Microsoft Certified: Azure DevOps Engineer Expert (AZ-400) or Azure Administrator Associate (AZ-104).

## Description

As a Senior AI Engineer you will be responsible for building and maintaining an automated AI Developer Experience (DevX) platform using Terraform on Microsoft Azure. This role focuses on automating infrastructure provisioning for AI workloads, integrating Model Context Protocol (MCP) services, and constructing robust pipelines for AI Agent deployment and evaluation., IaC & Platform Automation - Author, modularize, and maintain enterprise Terraform scripts to provision Azure AI resources, sandbox environments, and secure landing zones.

Agent Pipelines & CI/CD - Construct automated CI/CD pipelines (Azure DevOps / GitHub Actions) designed for agentic workflows, prompt evaluation, automated testing, and release gating.

MCP Integration - Design, containerize, and deploy Model Context Protocol (MCP) servers and gateways to connect AI agents securely with enterprise databases and APIs.

Developer Enablement - Create reusable developer templates, local execution environments, and self-service IaC modules to streamline onboarding for AI developers.

Observability & Telemetry - Implement tracing and metrics collection (Azure Monitor, OpenTelemetry, Log Analytics) across agent executions, tool calls, and pipeline steps., We champion tech that helps people work smarter, but we want to get to know you! If you use AI to assist with your application or interview prep, please ensure all information submitted remains an accurate, truthful representation of your personal achievements and capabilities rather than generating false or misleading information. We may reject applications where AI is used inappropriately at any stage of the recruitment process.


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