At a Glance
- Tasks: Lead the development of innovative AI solutions and enhance operational efficiency.
- Company: Join the FCA, a key player in regulating UK financial services.
- Benefits: Enjoy 28 days leave, hybrid work, and comprehensive health benefits.
- Other info: Diverse and inclusive culture with excellent career growth opportunities.
- Why this job: Shape the future of finance with cutting-edge AI technology.
- Qualifications: Extensive backend engineering and AI experience required.
The predicted salary is between 72100 - 120000 € per year.
This role is graded as: Technical Specialist – Regulatory.
About the FCA and team:
We regulate financial services firms in the UK, to keep financial markets fair, thriving and effective. By joining us, you’ll play a key part in protecting consumers, driving economic growth, and shaping the future of UK finance services.
The Data, Technology and Innovation (DTI) division enables the FCA to be a digital-first, data-led smart regulator by delivering a secure, agile, and cost-effective technology and data ecosystem that drives better decisions, transparency, and operational efficiency. Working alongside the wider AI Programme, the department will partner with business leads to shape and deliver work in priority areas — Authorisations, SPC, EMO and Anti‑Money Laundering.
Role responsibilities:
- Standardise and advance reusable AI solution patterns and reference architectures, improving cross-team consistency and delivery quality to enable more reliable and scalable product development.
- Establish end-to-end technical architectures for LLM-enabled systems, covering data pipelines, retrieval/RAG, prompt orchestration and agent workflows to support robust and effective AI implementation.
- Analyse complex constraints across product, data, security, legal and operations, translating them into clear standards and recommendations to enable delivery of highly complex AI solutions.
- Enhance CI/CD pipelines for AI systems, introducing automation, traceability and controlled release processes to ensure safe and repeatable deployments.
- Define monitoring, observability and operational strategies, improving visibility across quality, performance, safety, cost and reliability to support effective issue diagnosis and resolution.
- Set standards for prompt engineering, evaluation and testing, enhancing solution quality and behavioural consistency to support teams in resolving complex model challenges.
- Advance digital and data-driven methods by shaping organisational practices and innovation efforts that produce measurable improvements in performance and efficiency.
- Collaborate with senior stakeholders to deliver analytics-led solutions, addressing regulatory challenges and generating organisational impact to contribute to improved decision-making and long-term economic outcomes.
Skills required:
- Minimum: Extensive backend engineering experience building production services such as APIs and microservices with solid software engineering fundamentals combined with experience developing technical architecture and designs and taking them through enterprise review processes.
- Experience delivering cloud solutions on AWS including deploying, operating and troubleshooting services in live environments.
- Working knowledge of modern DevOps practices such as CI/CD, containerisation and monitoring with experience collaborating with engineers to deliver iteratively.
- Essential: Solid backend engineering experience, with experience designing, building and running reliable services in production (performance, resilience and security).
- Direct experience building and operating solutions on AWS, including AWS AI services and the supporting platform services required for production delivery.
- AI engineering experience delivering LLM-enabled systems using LLM APIs/Bedrock, including RAG architectures, vector databases and orchestration frameworks.
- DevOps skills including CI/CD pipelines, containerisation and monitoring/observability, with experience defining release and operating practices for AI services.
- Experience Leading Engineering teams: providing technical guidance, aligning on standards/patterns, and adapting plans to resolve delivery and operational challenges.
- Demonstrable capability in prompt design and in setting evaluation/testing approaches for LLM solutions (quality, safety/guardrails and performance), including defining measurable success criteria.
Benefits:
- 28 days annual leave plus bank holidays.
- Hybrid model where employees work a minimum of 40% in the office each month (expectation of 50% for senior leaders).
- Non-contributory pension (8–12% depending on age) and life assurance at eight times your salary.
- Private healthcare with Bupa, income protection, and 24/7 Employee Assistance.
- 35 hours of paid volunteering annually.
- A flexible benefits scheme designed around your lifestyle.
Our values & culture:
Our colleagues are the key to our success as a regulator. We are committed to fostering a diverse and inclusive culture: one that’s free from discrimination and bias, celebrates difference, and supports colleagues to deliver at their best. We believe that our differences and similarities enable us to be a better organisation – one that makes better decisions, drives innovation, and delivers better regulation.
If you require any adjustments due to a disability or condition, your recruiter is here to help - reach out for tailored support. We welcome diverse working styles and aim to find flexible solutions that suit both the role and individual needs, including options like part-time and job sharing where applicable.
Disability Confident: our hiring approach. We’re proud to be a Disability Confident Employer, and therefore, people or individuals with disabilities and long-term conditions who best meet the minimum criteria for a role will go through to the next stage of the recruitment process.
Useful information and timeline:
- Advert Closing: 02/06/26
- CV Review/Shortlist: 03/06/26
- First Stage Interviews: w/c 15/06/26
- Second Stage Interviews: w/c 22/06/26
Lead AI Engineer in London employer: Financial Conduct Authority
The FCA is an exceptional employer, offering a dynamic work environment in the heart of Edinburgh or Leeds, where you can contribute to shaping the future of UK financial services. With a strong commitment to employee growth, a diverse and inclusive culture, and generous benefits including a non-contributory pension and private healthcare, you'll find meaningful opportunities to advance your career while making a significant impact on the industry.
Contact Detail:
Financial Conduct Authority Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the FCA on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for those interviews! Research common questions for AI engineering roles and practice your responses. We recommend using the STAR method to structure your answers – it’s a game changer!
✨Tip Number 3
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them during your discussions. It’s a great way to demonstrate your expertise in AI solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the only way to ensure your application gets seen. Plus, it shows you’re serious about joining the FCA team.
We think you need these skills to ace Lead AI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead AI Engineer role. Highlight your backend engineering experience and any cloud solutions you've delivered on AWS. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your experience can help us at the FCA. Keep it concise but impactful, and don’t forget to mention your leadership experience.
Showcase Your Projects:If you've worked on relevant projects, make sure to include them in your application. We love seeing real-world examples of your work, especially those involving LLM-enabled systems or CI/CD pipelines. It helps us understand your hands-on experience!
Apply Through Our Website:Remember, applications must be submitted through our online portal. Don’t send your CV via email or social media, as we won’t be able to consider it. Head over to our website and get your application in – we can’t wait to see what you’ve got!
How to prepare for a job interview at Financial Conduct Authority
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI, especially around LLMs and AWS services. Be ready to discuss your experience with backend engineering and how you've tackled complex AI solutions in the past.
✨Showcase Your Leadership Skills
As a Lead AI Engineer, you'll need to demonstrate your ability to guide teams. Prepare examples of how you've led engineering projects, resolved challenges, and set standards for your team. Highlight your experience in aligning technical strategies with business goals.
✨Understand the Regulatory Landscape
Since this role is with the FCA, it's crucial to understand the regulatory environment of financial services. Familiarise yourself with how AI can impact compliance and decision-making in this sector, and be ready to discuss how you can contribute to better regulatory outcomes.
✨Prepare for Technical Questions
Expect in-depth technical questions about CI/CD practices, containerisation, and monitoring. Be prepared to explain your approach to building reliable services and how you ensure performance and security in production environments.