Our client is a digital consultancy. Senior AI Engineer - Microsoft Azure AI Foundry 12 Month Contract Who We Are We're on a mission to close the world's tech skills gap. We help organisations navigate the future of technology, combining human expertise, emerging tech and AI to deliver better outcomes, faster. Since 2014, we've worked side-by-side with clients to solve complex challenges, build high-performing teams, and create lasting capability. As technology continues to evolve, we believe the most successful organisations will be those that combine the best of both: human ingenuity AND intelligent technology. That belief is embedded in everything we do. We call it the genius of the AND: deep expertise AND practical delivery, innovation AND responsibility, ambitious work AND sustainable careers. Through our Guide, Build and Equip approach, we help organisations embrace change, deliver meaningful impact, and develop the skills they need to thrive in an increasingly agentic world. Role Overview 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. Key Responsibilities & Capabilities 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. Technical Qualifications 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).
Why join our client? We're building a culture where talented people can do meaningful work, continue growing, AND enjoy the journey along the way. Our model is designed to build belonging and connection: we're organised into regional ‘Clubs' of no more than 80 people, so you (and our clients) get the benefits of that small company feel while also being connected to a larger whole. Our Practice Areas act as a ‘second home' for our client - a place where you can innovate and learn with like-minded experts who care deeply about their craft, support each other generously, and believe the best ideas come from collaboration, not hierarchy. Our culture is rooted in our values of Wonder, Share and Delight, and shows up through five traits that we celebrate and nurture in all our client: we value curiosity, ambition and a growth-mindset. We are deeply client-centric. Most important of all we are human - we create an inclusive environment where people feel trusted, supported and able to be themselves. By joining our client, we'll provide: 25 days bookable holiday + flexible
Senior AI Engineer - Microsoft Azure (Contract) in London employer: Hackajob Ltd
JPMorgan Chase is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As a Lead Site Reliability Engineer, you will not only tackle complex challenges but also benefit from extensive professional development opportunities and a strong commitment to diversity and inclusion. Located in a global financial hub, you'll be part of a team that values your expertise and encourages a culture of continuous improvement and technical excellence.
