AI Engineer

Company Description/ Business Unit Location: London (hybrid working 3 office days per week) Employment Type: Permanent, full time Additional Benefits: Annual Bonus, Cash-Car Allowance \& Private Medical Insurance Think the AA is just about roadside assistance? Think again. For over a century, we've been evolving and adapting. Today, as the nation's leading motoring organisation, we offer a wide range of products and services to millions of customers. From roadside assistance to home and motor insurance, and the latest driving technologies, we have it all. As we continue to expand, diversify, and modernise, joining us as an AI Engineer means you'll play a crucial role in our success and be part of this exciting motoring journey. Our Chief Operating Office (COO) are the backbone of The AA, providing both stability and structure to support growth and innovation. We are the drivers of change. This is the job At The AA, we are building a newly established AI function with the ambition to create intelligent products and services that make a meaningful difference for our members, customers and frontline teams. We are now looking for an AI Engineer to design, build and operate production ready AI solutions using world class datasets and modern engineering practices. This is a hands-on engineering role for someone who is as comfortable writing and debugging Python as they are making technical decisions. You will spend most of your time designing, writing, testing and improving AI and Machine Learning systems, taking solutions beyond experimentation and into reliable production use. You will combine hands on delivery with technical ownership, working through ambiguity, making pragmatic engineering decisions and helping others deliver effectively. Depending on the initiative, you may own an outcome end to end or take responsibility for a defined technical area within a broader programme, working closely with product managers, data scientists, engineers and business stakeholders. What will I be doing? * Design, build, test and operate production ready AI and Machine Learning applications, including Generative AI, Large Language Models and Agentic AI solutions. * Write clean, maintainable and well tested Python, developing reliable backend services, APIs and cloud native AI applications. * Take technical ownership of AI solutions or defined areas of larger initiatives, making engineering decisions and taking solutions from discovery through to production. * Turn complex and sometimes ambiguous business problems into practical technical solutions, evaluating different approaches and making informed decisions based on evidence and engineering trade offs. * Apply strong engineering practices across testing, CI/CD, containerisation, deployment, monitoring, observability, MLOps and LLMOps, ensuring solutions remain reliable and effective in production. * Work collaboratively across product, data, engineering and the wider business, providing technical guidance and supporting responsible AI delivery through security, governance, evaluation and performance monitoring. What do I need? * Strong production Python engineering skills, with the ability to personally design, write, test, debug and improve reliable applications and services. * Applied experience in AI Engineering, Machine Learning Engineering or AI focused Software Engineering, with evidence of personally building and deploying production AI or ML applications. * Experience taking AI or ML capabilities beyond proof of concept, with an understanding of deployment, configuration, monitoring, evaluation, failure handling and ongoing improvement. * Strong software and backend engineering fundamentals, with experience building reliable APIs, services or cloud native applications using modern engineering practices. * The ability to work independently through technical ambiguity, breaking down problems, identifying constraints, evaluating approaches and making sound technical decisions without relying on others to frame the solution. * Practical experience with modern AI application patterns such as Generative AI, LLMs, RAG, agentic systems or Machine Learning, alongside the communication skills to explain technical decisions and trade-offs to both technical and non-technical audiences. Additional information Benefits We’re always looking to recognise and reward our employees for the work they do. As a valued member of The AA team, you’ll have access to a range of benefits including: * 25 days annual leave plus bank holidays + holiday buying scheme * Worksave pension scheme with up to 7% employer contribution * Free AA breakdown membership from Day 1 plus 50% discount for family and friends * Discounts on AA products including car and home insurance * Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more * Company funded life assurance * Diverse learning and development opportunities to support you to progress in your career * Dedicated Employee Assistance Programme and a 24/7 remote GP service for you and your family Plus, so much more! We’re an equal opportunities employer and welcome applications from everyone. The AA values diversity and the difference this brings to our culture and our customers. We actively seek people from diverse backgrounds to join us and become part of an inclusive company where you can be yourself, be empowered to be your best and feel like you truly belong. We have five communities to bring together people with shared characteristics and backgrounds and drive positive change.