> Markdown version of [/jobs/ext/3878016-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3878016-ai-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 Engineer - **Company:** The Automobile Association - **Location:** London, UK - **Contract:** Permanent contract - **Skills:** Adobe Analytics, Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Engineering, Code Review, Continuous Integration, Data Cleansing, Python (Programming Language), Machine Learning, Data Logging, Backend, Agentic-AI, Containerization, Deployment Automation, Machine Learning Operations, Data Pipelines - **Published:** October 23, 2026 - **Apply:** https://www.theaacareers.co.uk/apply ## About the Role * Strong, recent hands-on AI or ML engineering experience, with the technical depth to personally design, build and write production quality solutions using Python * Clear evidence of personally building, deploying and operating AI or ML systems in production, beyond proofs of concept, experimentation or prototype work, with the ability to explain your individual technical contribution * Practical experience across the end-to-end AI and ML lifecycle, including data preparation, development, evaluation, deployment, monitoring and ongoing improvement * Experience building production AI applications and services, including generative AI or agent-based systems, alongside backend services, APIs or data pipelines * Strong production engineering capability, including practical experience with CI/CD, containerisation, cloud native deployment and observability, together with the technical judgement to make and explain trade-offs across performance, cost, complexity and reliability * Experience taking meaningful technical ownership within cross functional teams, including applying responsible AI principles such as fairness, transparency, privacy, security and human oversight, while communicating technical decisions clearly to different audiences ## Description * Annual bonus, cash car allowance and private medical insurance * Shape and embed The AA's critical data governance operating model across a large, complex organisation * Build a meaningful Group wide capability with strong executive sponsorship and the opportunity to influence how data is governed from an early stage * Play a key role in ensuring trusted, high-quality data supports better decision making, customer outcomes and our growing Data and AI ambitions For over a century, The AA has been keeping Britain moving. Today, millions of drivers trust us to be there when it matters most, and we're equally committed to supporting the people who make that possible. With a 4.5-star Glassdoor rating, we've built a culture where colleagues are empowered to grow, collaborate and make a real impact for our customers on every journey. Which has been recognised by Sunday Times "Best Places to Work" for the last two years., * Design, build, test, deploy and operate scalable AI and ML applications, services and data pipelines using clean, maintainable Python * Own technical outcomes from problem definition and evaluation through to production deployment, monitoring and continuous improvement * Make pragmatic engineering decisions across model performance, latency, cost, complexity, reliability and maintainability * Build robust production capability using CI/CD, containerisation, cloud native practices, monitoring, logging, evaluation and deployment automation * Develop reusable components and engineering patterns, contributing through code reviews, technical guidance, documentation and knowledge sharing * Embed responsible AI principles throughout development, including fairness, transparency, privacy, security, evaluation and appropriate human oversight