Who you are
- 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
Desirable
- Certifications (Preferred): Microsoft Certified: Azure DevOps Engineer Expert (AZ-400) or Azure Administrator Associate (AZ-104)
What the job involves
- 12 Month Contract
- 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
Location: Leeds
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Senior AI Engineer employer: Gofractional
Gofractional is an exceptional employer that prioritises a positive candidate experience and fosters a collaborative work culture in the heart of London. With a strong focus on employee growth, you will have the opportunity to enhance your skills while working with cutting-edge recruitment technologies. Join us to be part of a team that values kindness, innovation, and the continuous improvement of hiring practices.
