At a Glance
- Tasks: Lead a cutting-edge AI team and drive innovative AI solutions.
- Company: Join a forward-thinking tech company shaping the future of AI.
- Benefits: Enjoy a competitive salary, generous pension, and 30 days holiday.
- Other info: Hybrid working model with excellent career growth opportunities.
- Why this job: Make a real impact in AI strategy and product development.
- Qualifications: Proven leadership in AI and software engineering with strong communication skills.
The predicted salary is between 137848 - 209440 £ per year.
Salary: £137,848 – £209,440
Location: London, Manchester, Bristol, Edinburgh or Leeds
Hours: Full‐time – 35 hours, Hybrid working model (at least two days per week or 40% of time at an office site).
Job Summary: Lead and manage the new Advanced AI Engineering team within the Data & AI Unit of the Chief Technology Office, reporting to the Group Director of Data & AI Architecture. Drive the adoption of Agentic AI, shape the Group's AI strategy, and oversee the development of AI‐powered products and services.
Responsibilities:
- Lead applied research and development engineers to evaluate emerging AI technologies.
- Build, deliver and iterate on minimum viable products (MVPs) and enable their transition into production at scale.
- Ensure the delivery of high‐quality conversational AI solutions across channels, with an emphasis on safety, reliability, auditability and explainability.
- Shape technical direction and drive applied research and prototyping for AI innovation.
- Collaborate closely with senior leaders, platform, CIO and engineering teams to align AI initiatives with business strategy.
- Act as a trusted advisor to executive leadership, influencing business strategy and technology decisions.
- Manage governance and risk related to reliability, security, safety, and explainability in a regulated environment.
Qualifications:
- Proven experience leading research and development and/or software engineering teams in complex enterprise environments.
- Recognised expertise in GenAI and Agentic AI technologies, with a track record of delivering AI systems to production.
- Deep expertise in software engineering, application development and solution architecture, backed by hands‐on experience.
- Experience with AI‐SDLC tooling (e.g. GitHub Copilot, Claude Code, Cursor) to accelerate engineering productivity.
- Background in regulated environments, managing reliability, security, safety and explainability risks.
- Experience acting as a trusted advisor to executive leadership and influencing business strategy.
- Strong communication skills and the ability to work with cross‐functional teams.
Benefits:
- Generous pension contribution of up to 15%.
- Annual bonus award, subject to Group performance.
- Share schemes, including free shares.
- 30 days' holiday, plus bank holidays.
- Well‐being initiatives and generous parental leave policies.
Head of Advanced AI Engineering in London employer: Lloyds Bank plc
As a leading employer in the tech industry, we offer an exceptional work environment that fosters innovation and collaboration. With a hybrid working model and locations across major UK cities, our employees benefit from a generous pension scheme, annual bonuses, and extensive well-being initiatives. We prioritise professional growth, providing opportunities to lead cutting-edge AI projects while shaping the future of technology in a supportive and dynamic culture.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Advanced AI Engineering in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by researching the company and its AI initiatives. 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 pitch! Be ready to explain your experience with GenAI and Agentic AI technologies clearly and confidently. We want to hear how you can lead and innovate in this space.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Head of Advanced AI Engineering in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Head of Advanced AI Engineering role. Highlight your leadership in AI projects and any relevant technologies you've worked with, like GenAI or Agentic AI.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your background makes you the perfect fit for leading our Advanced AI Engineering team. Be genuine and let your personality come through.
Showcase Your Achievements:When detailing your experience, focus on specific achievements that demonstrate your ability to lead teams and deliver AI solutions. Use metrics where possible to show the impact of your work—numbers speak volumes!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Lloyds Bank plc
✨Know Your AI Stuff
Make sure you brush up on your knowledge of GenAI and Agentic AI technologies. Be ready to discuss specific projects you've led or contributed to, especially those that involved delivering AI systems to production. This will show that you not only understand the theory but also have practical experience.
✨Showcase Leadership Skills
As a Head of Advanced AI Engineering, you'll need to demonstrate your ability to lead teams effectively. Prepare examples of how you've managed research and development teams in complex environments. Highlight your experience in influencing business strategy and acting as a trusted advisor to executive leadership.
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining complex AI concepts in simple terms, as you'll need to collaborate with cross-functional teams. Think about how you can convey your ideas clearly and concisely during the interview.
✨Understand Governance and Risk
Familiarise yourself with the governance and risk management aspects related to AI, especially in regulated environments. Be prepared to discuss how you've managed reliability, security, safety, and explainability risks in your previous roles. This will demonstrate your readiness to handle the responsibilities of the position.
