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- Tasks: Lead AI development and create innovative solutions for fan engagement in motorsport.
- Company: Join Formula E, the world's fastest-growing sport focused on sustainability and innovation.
- Benefits: Enjoy a hybrid work model, competitive perks, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology in an exciting, high-speed environment.
- Qualifications: Experience with AI applications on GCP and strong programming skills in Python.
- Other info: Diverse and inclusive culture where every voice matters.
The predicted salary is between 28800 - 48000 £ per year.
Are you ready to lead the charge in intelligent automation for the world's fastest-growing motorsport? We are looking for a talented AI Engineer to drive the development of advanced AI agents and maintain the critical data infrastructure that powers them.
About Formula E: Formula E, the world's fastest-growing sport, is redefining motorsport with a bold focus on innovation and sustainability. Hosting over 100 races in iconic cities globally and backed by top manufacturers like Porsche and Jaguar, we feature elite drivers and cutting-edge EV technology. As the world's first sport certified Net Zero Carbon from inception, Formula E combines thrilling entertainment with a mission to advance sustainable progress, inspiring a global fanbase with our high-performance brand new GEN3 EVO race car capable of 0-60mph in 1.82 seconds (0-100kph in 1.86s). Using the spectacle of sport, we are sending a powerful and meaningful message to help alter perceptions and speed up the switch to electric mobility. Welcome to the home of Global Electric Street Racing.
The Role: Sitting at the heart of our exciting Google Cloud partnership, you will own the end-to-end lifecycle of AI applications. This role isn’t just about building models; it’s about creating autonomous orchestration frameworks that automate complex workflows and revolutionise how we engage with fans and partners. From prompt engineering to full-scale deployment, you will put cutting-edge technology—like Gemini's multimodal capabilities—into the hands of our racing and technical teams.
The key deliverables are:
- AI Agent Development: Design and deploy autonomous AI agents and orchestration frameworks to enhance fan engagement and automate internal workflows.
- GCP Infrastructure: Build and maintain scalable, high-performance data pipelines within the Google Cloud Platform (GCP) to provide real-time context for AI applications.
- Generative AI Implementation: Leverage the full Google suite, including Vertex AI and Agent Builder, to create production-ready RAG (Retrieval-Augmented Generation) systems and LLM-powered tools.
- Data Modelling for AI: Develop and optimise vector databases and data models tailored specifically for high-efficiency AI retrieval and LLM performance.
- Strategic Collaboration: Partner with racing and technical teams to identify high-impact opportunities for agentic automation and translate those into robust technical solutions.
- High-Standard Deployment: Take accountability for the performance, safety, and documentation of all AI deployments, ensuring low-latency access for models.
What we’re looking for in you: You are a proactive, strategic problem solver who thrives in a high-velocity environment where AI technology evolves on a weekly basis. You are an innovator who can bridge the gap between technical AI development and non-technical stakeholders to deliver high-value results.
What You’ll Bring:
- AI & GCP Expertise: Proven experience building AI applications on GCP, with essential deep experience in Vertex AI (Model Garden, Studio, and Search) and Gemini models.
- Agentic Frameworks: Proficiency in developing AI agents using Vertex AI Agent Builder, LangChain, or similar orchestration tools.
- Advanced Programming: Strong Python skills focused on AI integration, API development, and data engineering for Large Language Models.
- Data Architecture: Experience building RAG architectures and managing modern data flows, including Vector Databases, SQL, BigQuery, and Cloud Run/Functions.
- LLM Fundamentals: A solid understanding of LLM architectures, context window management, and grounding techniques to minimise hallucinations.
- Engineering Best Practices: Strong experience with Git, CI/CD, and version control for both code and model prompts. A relevant Google Cloud certification would be highly beneficial.
What’s in it for you? At Formula E, we offer a range of benefits and perks to enable you to make an impact in your role and to support your wellbeing and professional growth.
This is a hybrid role and you’ll be required to do 3 days a week in our Hammersmith London office.
Application Process: Think you’ve got what it takes to join our race to the future? The closing date for this role is 22nd January 2026, however if we receive a high volume of applications we may close it early. At Formula E, we are building a culture where every voice matters, every perspective accelerates progress, and every individual is empowered to rise, contribute boldly, and shape a better world - together. We will provide equal opportunities regardless of an individuals' protected characteristics. We believe in attracting and retaining diverse talent to strengthen our global vision with a variety of experiences, backgrounds and perspectives. Our mission is clear. The message is simple. Whoever you are. However you live. Whatever you believe. Formula E. For the Future. For Everyone.
If you require further assistance in accessing the application or require a different format of the application, please contact us. If this role isn’t quite for you but you want to join Formula E, why not 'Connect' with us to be the first to know of new opportunities.
AI Engineer employer: FIA Formula E Championship
Contact Detail:
FIA Formula E Championship Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the motorsport and AI fields on LinkedIn. Join relevant groups, attend events, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to GCP and autonomous systems. This is your chance to demonstrate what you can do beyond just a CV—make it visually appealing and easy to navigate.
✨Tip Number 3
Prepare for interviews by diving deep into Formula E’s mission and values. Understand how your skills can contribute to their goals in sustainability and innovation. Tailor your responses to show that you’re not just a fit for the role, but also for the company culture.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, keep an eye on our careers page for new opportunities—being proactive can really set you apart from the crowd.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with AI and GCP in your application. We want to see how you've used tools like Vertex AI and Gemini in real-world projects, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the AI Engineer role. Use keywords from the job description to show us you understand what we're looking for and how you fit into our vision.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the heart of your experience and achievements.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity at Formula E.
How to prepare for a job interview at FIA Formula E Championship
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI applications, especially those built on Google Cloud Platform. Be ready to discuss your experience with Vertex AI and Gemini models, as well as any projects where you've developed AI agents or orchestration frameworks.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your strategic problem-solving abilities in high-velocity environments. Think about times when you bridged the gap between technical and non-technical stakeholders, and be ready to share how you delivered high-value results.
✨Get Familiar with the Company
Research Formula E and its mission to redefine motorsport through innovation and sustainability. Understanding their focus on electric mobility and fan engagement will help you align your answers with their values during the interview.
✨Practice Technical Questions
Expect technical questions related to data architecture, RAG systems, and LLM fundamentals. Brush up on your Python skills and be prepared to discuss engineering best practices, including Git and CI/CD processes, to demonstrate your technical expertise.