At a Glance
- Tasks: Lead the development of AI tools to boost employee productivity and automate processes.
- Company: Join Lloyds Banking Group, a leader in transforming finance for good.
- Benefits: Enjoy a competitive salary, generous pension, 30 days holiday, and flexible working options.
- Other info: Inclusive workplace with opportunities for growth and a commitment to diversity.
- Why this job: Be at the forefront of AI innovation and make a real impact on business processes.
- Qualifications: Experience with GenAI, agentic coding, and a collaborative mindset are essential.
The predicted salary is between 69624 - 87030 € per year.
We are looking for Lead Engineers to join our new AI Productivity Lab. The purpose of the Lab is to accelerate internal AI-driven employee productivity and process automation using the latest agentic co-working technologies.
We're seeking Lead Engineers to join a new AI Productivity Lab focused on accelerating employee productivity and business process automation through cutting-edge agentic co-working technologies. This is a hands-on engineering role building domain-specific agents and tools, working alongside Principal Engineers and the Head of the Lab to rapidly prototype, iterate and embed solutions into real business processes. The role involves contributing to reusable knowledge assets, integrating secure, enterprise-grade solutions, and supporting adoption by collaborating with business teams to embed agentic working into day-to-day operations. Operating within the Data & AI Unit of the Chief Technology Office, the Lab plays a central role in shaping and scaling AI-driven capabilities, combining modern agentic engineering practices with strong discipline around quality, security and usability.
What we’re looking for:
- Demonstrable experience deploying technology solutions in complex environments and supporting production operations
- Hands-on experience using GenAI and Agentic AI technology to solve real-world problems
- Familiarity with agentic coding and/or coworking tools (e.g. GitHub Copilot, Claude Code, Cursor) and an ability to learn new tools quickly
- Working knowledge of operational and AI risk considerations in regulated environments, including reliability, security, safety and explainability
- Ability to collaborate in high-performing teams, communicate clearly and contribute to shared reusable assets
We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. We also offer a wide-ranging benefits package, which includes:
- A generous pension contribution of up to 15%
- An annual bonus award, subject to Group performance
- 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
At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.
Lead Engineer – AI Productivity Lab in Manchester employer: Lloyds Bank
At Lloyds Banking Group, we pride ourselves on being an exceptional employer, offering a dynamic work environment in our AI Productivity Lab located in vibrant cities like Bristol, Edinburgh, Leeds, and Manchester. Our commitment to flexible working, comprehensive benefits including a generous pension scheme and 30 days of holiday, and a strong focus on employee growth and inclusivity make us a fantastic place for talented individuals to thrive and contribute to shaping the future of finance.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Engineer – AI Productivity Lab in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at the AI Productivity Lab 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
Show off your skills! Prepare a portfolio or a project that highlights your experience with GenAI and agentic coding. Bring it up during interviews to demonstrate your hands-on expertise and problem-solving abilities.
✨Tip Number 3
Practice makes perfect! Get comfortable discussing your past projects and how they relate to the role. Use the STAR method (Situation, Task, Action, Result) to structure your answers and keep them engaging.
✨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 genuinely interested in joining our team at Lloyds Banking Group.
We think you need these skills to ace Lead Engineer – AI Productivity Lab in Manchester
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Lead Engineer role. Highlight your experience with GenAI and Agentic AI technologies, as well as any hands-on projects that showcase your skills in deploying tech solutions.
Showcase Collaboration Skills:Since this role involves working in high-performing teams, don’t forget to mention your teamwork experiences. Share examples of how you've collaborated on projects and contributed to shared assets, as this will resonate well with us.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to describe your experiences and skills, making it easy for us to see how you fit into the role and our team.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, you’ll find all the details you need about the position there!
How to prepare for a job interview at Lloyds Bank
✨Know Your Tech Inside Out
Make sure you’re well-versed in GenAI and Agentic AI technologies. Brush up on your hands-on experience with tools like GitHub Copilot and Claude Code, as these will likely come up during the interview. Being able to discuss specific projects where you've used these technologies will show your practical knowledge.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world problems you've solved using technology solutions. Think of examples where you’ve deployed solutions in complex environments and how you supported production operations. This will demonstrate your ability to apply your skills effectively in a practical setting.
✨Emphasise Collaboration
Since this role involves working in high-performing teams, be ready to talk about your experiences collaborating with others. Highlight instances where you contributed to shared reusable assets or worked alongside different teams to embed new technologies into daily operations.
✨Understand the Bigger Picture
Familiarise yourself with operational and AI risk considerations, especially in regulated environments. Be prepared to discuss how you ensure reliability, security, and explainability in your work. This shows that you not only focus on the tech but also understand its implications in a business context.
