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AI DevOps Engineer - Azure AI Foundry
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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 and is building new AI products and services across the business. They are looking for an experienced DevOps Engineer to help establish the engineering foundations needed to deploy, automate, govern, and 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 and AI, building the CI/CD, automation, Infrastructure-as-Code and governance capabilities needed to take AI solutions from development into secure, repeatable production environments.
You will work closely with AI, DevOps and 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 and patterns and transferring knowledge to the permanent engineering team.
Key Responsibilities
- Design and implement scalable CI/CD pipelines and deployment automation for AI-enabled applications and services.
- Integrate Azure AI Foundry and AI/GenAI services into enterprise DevOps and deployment processes.
- Build reusable Terraform Infrastructure-as-Code standards and modules, including helping transition existing Bicep-based infrastructure to Terraform.
- Establish secure and governed deployment patterns, including DevSecOps controls, security scanning, segregation of duties, audit trails and deployment gates.
- Develop self-service deployment capabilities and standards that reduce manual intervention and improve consistency across environments.
- Support AI product teams across Azure, Docker, Kubernetes and cloud-based platforms.
- Implement appropriate monitoring, logging and observability across AI platforms and services.
- Identify opportunities to improve the SDLC through AI-enabled automation, with measurable improvements to efficiency, quality and speed of delivery.
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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 and CI/CD pipeline design and automation.
- Practical experience with Azure AI Foundry and deploying AI/GenAI solutions into production environments.
- Strong Terraform experience, ideally including reusable modules and enterprise-scale Azure Infrastructure-as-Code.
- Strong understanding of how AI solutions are developed, deployed, governed and operated within an enterprise environment.
- Experience moving organisations from manual deployment processes towards automated, repeatable and self-service delivery models.
- A strong development mindset, with the ability to understand and work alongside software engineers and read/understand application code. Experience with C# OR Java would be beneficial.
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