At a Glance
- Tasks: Lead a cutting-edge AI team and drive innovative AI strategies.
- Company: Join a forward-thinking tech company shaping the future of AI.
- Benefits: Generous pension, annual bonuses, share schemes, and 30 days holiday.
- Other info: Hybrid working model with opportunities for professional growth.
- Why this job: Make a real impact in AI innovation and influence business strategy.
- 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
Head of Advanced AI Engineering employer: Lloyds Bank plc
As a leading employer in the tech industry, we offer an innovative and collaborative work environment that fosters creativity and growth. With a generous benefits package including a substantial pension contribution, annual bonuses, and share schemes, our employees are rewarded for their contributions while enjoying a healthy work-life balance through our hybrid working model. Join us in one of our vibrant locations across the UK, where you will have the opportunity to shape the future of AI technology and advance your career in a supportive and dynamic team.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Advanced AI Engineering
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. We want you to be able to show how your skills align with their goals, especially in AI innovation. Tailor your responses to highlight your experience with GenAI and Agentic AI technologies.
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online platforms. We suggest focusing on common questions related to leadership in AI and software engineering to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Head of Advanced AI Engineering
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Head of Advanced AI Engineering role. Highlight your experience with GenAI and Agentic AI technologies, and don’t forget to showcase your leadership skills in managing R&D teams.
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 background aligns with our mission at StudySmarter. Be sure to mention specific projects or achievements that demonstrate your expertise.
Showcase Your Technical Skills:In your application, be clear about your technical skills, especially in software engineering and AI-SDLC tooling. We want to see how you’ve used these tools to drive innovation and deliver high-quality solutions in previous roles.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status directly!
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 your expertise and passion for the field.
✨Showcase Leadership Experience
Prepare examples that highlight your experience in leading research and development teams. Think about challenges you've faced in complex enterprise environments and how you overcame them. This will demonstrate your capability to manage and inspire a team effectively.
✨Align with Business Strategy
Understand the company's business strategy and be prepared to discuss how your AI initiatives can align with it. Bring ideas on how to influence technology decisions at an executive level, showcasing your ability to act as a trusted advisor.
✨Communicate Clearly
Strong communication skills are key for this role. Practice articulating your thoughts clearly and concisely, especially when discussing technical concepts. Be ready to explain how you ensure safety, reliability, and explainability in AI solutions, as these are crucial in regulated environments.
