At a Glance
- Tasks: Lead AI projects, develop MVPs, and tackle critical business challenges.
- Company: Join an innovative bank reshaping finance for good.
- Benefits: Generous pension, performance bonuses, 30 days holiday, and flexible lifestyle benefits.
- Other info: Inclusive culture with strong focus on diversity and personal development.
- Why this job: Make a real impact in AI while growing your career in a dynamic environment.
- Qualifications: Experience in AI/ML, agile practices, and technology solutions in complex settings.
The predicted salary is between 69624 - 105000 £ per year.
We're rebooting an icon and building the future of finance. Find out why you should join us.
About this Opportunity
We are looking for Lead Engineers to join our new Advanced AI Engineering team. You will combine applied research and solution development to create effective solutions to critical AI business challenges, building operational MVPs that our engineering teams can scale out across the Group’s business areas.
You will be working within the Data & AI Unit of the Chief Technology Office (CTO), where we define and lead the Group’s Data and AI technology strategy, serve as the Group’s design authority for Data and AI, and inspire, develop and incubate new AI‑driven products, capabilities and ways of working through applied research and product discovery.
These are hands-on roles, working at the forefront of Agentic AI adoption, which will draw upon your curiosity and problem-solving abilities, your experience building and supporting technology solutions within production environments, and your knowledge of GenAI technology.
Day to day, you will:
- Support ideation activities, working with team members and business stakeholders to explore the art of the possible and identify areas of challenge and opportunity
- Evaluate AI methods and technologies, conducting experiments and building proof-of-concepts
- Develop operational MVPs and support their delivery to business platforms and engineering teams
Why Lloyds Banking Group
If you think all banks are the same, you’d be wrong. We’re an innovative, fast-changing business that’s shaping finance as a force for good. A bank that’s empowering its people to innovate, explore possibilities and grow with purpose.
What you’ll need
- Proven experience engineering technology solutions in complex environments and supporting production operations
- Applied AI/ML and GenAI experience with knowledge of established patterns (RAG, tool use, guardrails, evaluation, agents) and an ability to evaluate tools and approaches
- Experience of working in teams employing agile practices and using modern SDLC tooling
- A solid understanding of requirements for managing operational and AI risk in a regulated environment, including reliability, security, safety and explainability
- Ability to collaborate as part of a high-performing engineering team – mentoring and supporting others and engaging stakeholders on technical direction
Desirable:
- Experience delivering technology solutions in regulated industries (financial services preferred)
- Experience of research, either in industry or as part of an advanced degree
- Experience developing technology solutions for customer-facing platforms at scale (digital apps, contact centre/voice, colleague tooling)
- Experience of partnering with Enterprise Architecture functions
About working for us
Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it’s why we especially welcome applications from under-represented groups. We’re disability confident. So if you’d like reasonable adjustments to be made to our recruitment processes, just let us know.
We also offer a wide-ranging benefits package, which includes:
- A generous pension contribution of up to 15%
- An annual performance-related bonus
- Share schemes including free shares
- Benefits you can adapt to your lifestyle, such as discounted shopping
- 30 days’ holiday, with bank holidays on top
- A range of wellbeing initiatives and generous parental leave policies
Ready for a career where you can have a positive impact as you learn, grow and thrive? Apply today and find out more.
Lead AI Engineer — Advanced GenAI & MVPs (Hybrid) employer: Lloyds Banking Group
Lloyds Banking Group is an exceptional employer that champions innovation and inclusivity, making it a prime choice for those looking to advance their careers in AI engineering. With a hybrid working model, generous benefits including a substantial pension contribution, and a commitment to employee growth through diverse initiatives, you will thrive in a culture that values collaboration and creativity. Join us in shaping the future of finance while enjoying a supportive environment that celebrates diversity and empowers you to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer — Advanced GenAI & MVPs (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by researching the company’s recent projects and innovations in AI. Show them you’re not just another candidate; you’re genuinely interested in their mission and how you can contribute.
✨Tip Number 3
Practice your problem-solving skills with real-world scenarios. Be ready to discuss how you’ve tackled challenges in past roles, especially those related to AI and tech solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team!
We think you need these skills to ace Lead AI Engineer — Advanced GenAI & MVPs (Hybrid)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Lead AI Engineer role. Highlight your applied AI/ML experience and any relevant projects you've worked on, especially those involving GenAI technology.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background aligns with our mission at Lloyds Banking Group. Share specific examples of your problem-solving abilities and how you've contributed to team success in the past.
Showcase Your Team Spirit:We love collaboration! In your application, mention instances where you've worked in high-performing teams or mentored others. This will show us that you can thrive in our agile environment and contribute positively to our culture.
Apply Through Our Website:Don't forget to apply through our official website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our values and what we stand for.
How to prepare for a job interview at Lloyds Banking Group
✨Know Your AI Stuff
Make sure you brush up on your applied AI and GenAI knowledge. Be ready to discuss established patterns like RAG and how you've used them in past projects. This will show that you’re not just familiar with the concepts but can also apply them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex challenges in previous roles. Think about specific situations where you developed operational MVPs or supported production operations. This will demonstrate your hands-on experience and ability to think critically under pressure.
✨Emphasise Team Collaboration
Since this role involves working within a high-performing engineering team, be ready to talk about your experiences collaborating with others. Highlight any mentoring roles you've taken on and how you’ve engaged stakeholders in technical discussions. This shows you’re a team player who values collaboration.
✨Understand the Regulatory Landscape
Familiarise yourself with the requirements for managing operational and AI risk in regulated environments. Be prepared to discuss how you ensure reliability, security, and explainability in your projects. This will show that you understand the importance of compliance in the financial services sector.
