AI DevOps Engineer - Azure AI Foundry

AI DevOps Engineer - Azure AI Foundry

Contract Length: 6 months
Location: Remote with ad-hoc travel
Rate: Up to £600 per day
IR35 Status: Outside IR35
Start Date: ASAP

About the Client

A leading global insurance organisation is investing heavily in AI & is building new AI products & services across the business. They are looking for an experienced DevOps Engineer to help establish the engineering foundations needed to deploy, automate, govern, & operate these AI solutions at enterprise scale.

Role Overview

This is not a traditional DevOps role. You will sit at the intersection of DevOps, software development & AI, building the CI/CD, automation, Infrastructure-as-Code & governance capabilities needed to take AI solutions from development into secure, repeatable production environments.

You will work closely with AI, DevOps & Engineering teams, with a particular focus on integrating Azure AI Foundry into existing enterprise engineering practices. A key part of the assignment will be creating reusable standards & patterns & transferring knowledge to the permanent engineering team.

Key Responsibilities

• Design & implement scalable CI/CD pipelines & deployment automation for AI-enabled applications & services.
• Integrate Azure AI Foundry & AI/GenAI services into enterprise DevOps & deployment processes.
• Build reusable Terraform Infrastructure-as-Code standards & modules, including helping transition existing Bicep-based infrastructure to Terraform.
• Establish secure & governed deployment patterns, including DevSecOps controls, security scanning, segregation of duties, audit trails & deployment gates.
• Develop self-service deployment capabilities & standards that reduce manual intervention & improve consistency across environments.
• Support AI product teams across Azure, Docker, Kubernetes & cloud-based platforms.
• Implement appropriate monitoring, logging & observability across AI platforms & services.
• Identify opportunities to improve the SDLC through AI-enabled automation, with measurable improvements to efficiency, quality & speed of delivery.

Key Requirements

• Strong commercial experience as a DevOps / Platform Engineer, ideally with a software development or engineering background.
• Proven hands-on experience with Azure DevOps & CI/CD pipeline design & automation.
• Practical experience with Azure AI Foundry & deploying AI/GenAI solutions into production environments.
• Strong Terraform experience, ideally including reusable modules & enterprise-scale Azure Infrastructure-as-Code.
• Strong understanding of how AI solutions are developed, deployed, governed & operated within an enterprise environment.
• Experience moving organisations from manual deployment processes towards automated, repeatable & self-service delivery models.
• A strong development mindset, with the ability to understand & work alongside software engineers & read/understand application code. Experience with C# OR Java would be beneficial

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