Lead AI Engineer

Lead AI Engineer

Full-Time 72100 - 120000 £ / year (est.) No working from home possible
Financial Conduct Authority

At a Glance

  • Tasks: Lead the development of innovative AI solutions and enhance operational efficiency.
  • Company: Join a forward-thinking regulator shaping the future of financial services.
  • Benefits: Enjoy competitive salary, hybrid work model, and extensive health benefits.
  • Other info: Diverse and inclusive culture with excellent career growth opportunities.
  • Why this job: Make a real impact in AI while driving economic growth and consumer protection.
  • Qualifications: Proven backend engineering experience and expertise in AI systems.

The predicted salary is between 72100 - 120000 £ per year.

Division: Data, Technology and Innovation

Salary: National (Edinburgh and Leeds) ranging from £72,100 to £108,000 and London from £79,300 to £120,000 per annum (salary offered will be based on skills and experience)

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 (which will continue to oversee/coordinate AI activity across the FCA), 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.

Minimum Skills required

  • 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). Changing from September to a minimum of 50% in the office each month (expectation of 60% for Directors and Executive Directors).
  • 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. In cases of high application volumes, we may progress applicants whose experience most closely matches the role’s key requirements.

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

Your Recruiter will discuss the process in detail with you during screening for the role, therefore, please make them aware if you are going to be unavailable for any date during this time.

Lead AI Engineer 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 a comprehensive benefits package including private healthcare and generous leave, you will find meaningful opportunities to advance your career while making a significant impact on the industry.

Financial Conduct Authority

Contact Details:

Financial Conduct Authority Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead AI Engineer

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Prepare for those interviews! Research the company, understand their values, and be ready to discuss how your skills align with their needs. Practise common interview questions and have your own questions ready to show your interest.

Tip Number 3

Showcase your projects! Whether it's through a portfolio or GitHub, let your work speak for itself. Highlight any AI solutions you've developed, especially those that demonstrate your backend engineering skills and cloud experience.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about the role and following the proper channels. Let’s get you that Lead AI Engineer position!

We think you need these skills to ace Lead AI Engineer

Backend Engineering
API Development
Microservices Architecture
Technical Architecture Design
Cloud Solutions on AWS
DevOps Practices
CI/CD Pipelines

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 specific projects that showcase your skills in AI and cloud solutions. We want to see how your background aligns 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 you can contribute to our mission at StudySmarter. Keep it concise but impactful, and don’t forget to mention your experience with AWS and DevOps practices.

Showcase Your Technical Skills:In your application, be sure to highlight your technical skills, especially around LLM-enabled systems and CI/CD pipelines. We love seeing candidates who can demonstrate their expertise in these areas, so don’t hold back!

Apply Through Our Website:Remember, applications must be submitted through our online portal. It’s super easy! Just head over to our website, fill out the application form, and attach your CV and cover letter. We can’t wait to see what you bring to the table!

How to prepare for a job interview at Financial Conduct Authority

Know Your AI Stuff

Make sure you brush up on your knowledge of AI engineering, especially around LLM-enabled systems and AWS services. Be ready to discuss your experience with prompt design and CI/CD pipelines, as these are crucial for the role.

Showcase Your Leadership Skills

As a Lead AI Engineer, you'll need to demonstrate your ability to lead teams effectively. Prepare examples of how you've provided technical guidance and resolved delivery challenges in past projects. This will show that you're not just technically savvy but also a great team player.

Understand the Regulatory Landscape

Since this role is within the FCA, it's important to have a grasp of the regulatory environment in financial services. Familiarise yourself with how AI can impact compliance and decision-making in this sector, and be ready to discuss your thoughts on it.

Prepare Questions for Them

Interviews are a two-way street! Think of insightful questions to ask about the team's current projects, challenges they face, or their vision for AI in the organisation. This shows your genuine interest and helps you assess if the role is right for you.