> Markdown version of [/jobs/ext/2257963-ai-devops-engineer](https://www.wearedevelopers.com/jobs/ext/2257963-ai-devops-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI DevOps Engineer

- **Company:** Insight
- **Location:** Sheffield, UK
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Bash Shell, Computer Programming, Continuous Integration, DevOps, Information Technology Operations, Python (Programming Language), Key Management, Ansible, Data Logging, Data Processing, Scripting, Data Classification, System Availability, Large Language Models, Reliability of Systems, Generative AI, Infrastructure as Code (IaC), Git, Infrastructure Automation Frameworks, Atlassian Tools, Bitbucket, Terraform, Software Version Control, Devsecops, Jenkins
- **Published:** August 26, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815171448-ai-devops-engineer

## About the Role

* Infrastructure as Code (IaC), CI/CD, monitoring, and system reliability
 * Strong understanding of enterprise environments, controls, and compliance requirements
 * Ability to manage work and deliverables independently
 * Ability to support GenAI-enabled engineering practices (e.g., AI-assisted development/operations) while adhering to enterprise governance, security, and risk controls, * Scripting/Programming: Bash, Python, Shell
 * Infrastructure as Code: Ansible, Terraform
 * Source Control: Git, Bitbucket
 * Security & Compliance: Understanding of DevSecOps, secrets management, enterprise controls, and compliance
 * Familiarity with Jira and Confluence
 * GenAI/LLM Fundamentals: Understanding of LLM concepts (prompting, embeddings, RAG, model limitations), and how to apply them safely in engineering workflows
 * GenAI Tooling & Integration: Experience using and integrating GenAI-assisted tools (e.g., code assistants, chat-based ops assistants) and/or APIs into developer/DevOps workflows
 * Responsible AI & Data Handling: Awareness of privacy, IP, data classification, and secure usage patterns when working with GenAI tools in enterprise environments, * Experience supporting GenAI platforms/services in production (e.g., model/API deployment patterns, prompt/version management, evaluation/monitoring, and cost controls)

## Description

Overview

 * Infrastructure as Code (IaC), CI/CD, monitoring, and system reliability
 * Strong understanding of enterprise environments, controls, and compliance requirements
 * Ability to manage work and deliverables independently
 * Ability to support GenAI-enabled engineering practices (e.g., AI-assisted development/operations) while adhering to enterprise governance, security, and risk controls

Key Responsibilities

 * Design, implement, and maintain CI/CD pipelines (e.g., Jenkins)
 * Automate infrastructure provisioning and configuration (e.g., Ansible, Terraform)
 * Ensure high availability, scalability, and security of systems
 * Collaborate with developers, QA, and IT operations to streamline releases
 * Troubleshoot deployment, build, and infrastructure issues
 * Maintain configuration management tools (Ansible)
 * Ensure compliance with enterprise controls and regulatory requirements
 * Work independently to deliver on assigned tasks and projects
 * Utilize Jira and Confluence for work tracking and documentation
 * Enable and operationalise GenAI/LLM-based tooling in the DevOps toolchain (where approved), including secure access, environment configuration, and integration into CI/CD workflows
 * Implement guardrails for GenAI usage (e.g., data handling, prompt/content logging where required, secrets protection, model/tool access controls) aligned to enterprise policies
 * Support reliability and observability for GenAI-enabled services (e.g., monitoring latency, error rates, cost/usage, and drift/quality signals where applicable)

Core Skills

 * Scripting/Programming: Bash, Python, Shell
 * Infrastructure as Code: Ansible, Terraform
 * Source Control: Git, Bitbucket
 * Security & Compliance: Understanding of DevSecOps, secrets management, enterprise controls, and compliance
 * Familiarity with Jira and Confluence
 * GenAI/LLM Fundamentals: Understanding of LLM concepts (prompting, embeddings, RAG, model limitations), and how to apply them safely in engineering workflows
 * GenAI Tooling & Integration: Experience using and integrating GenAI-assisted tools (e.g., code assistants, chat-based ops assistants) and/or APIs into developer/DevOps workflows
 * Responsible AI & Data Handling: Awareness of privacy, IP, data classification, and secure usage patterns when working with GenAI tools in enterprise environments

Preferred

 * Experience supporting GenAI platforms/services in production (e.g., model/API deployment patterns, prompt/version management, evaluation/monitoring, and cost controls)


## Related Videos

- [The Future of Developer Experience with GenAI: Driving Engineering Excellence](https://www.wearedevelopers.com/videos/1107-the-future-of-developer-experience-with-genai-driving-engineering-excellence)
- [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws)
- [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform)
- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus)
- [Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company](https://www.wearedevelopers.com/videos/776-our-gitops-approach-for-deploying-an-identity-provider-and-an-api-gateway-in-a-saas-company)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools)