At a Glance
- Tasks: Lead a team to innovate and deliver cutting-edge AI solutions that transform customer engagement.
- Company: Join a forward-thinking tech company at the forefront of AI technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and innovation in a regulated environment.
- Why this job: Be a key player in shaping the future of AI and drive impactful change.
- Qualifications: Proven leadership in AI engineering and expertise in GenAI technologies.
The predicted salary is between 90000 - 120000 £ per year.
Requirements
- Proven experience leading research and development and/or software engineering activities in complex enterprise environments.
- Recognised expertise in GenAI and Agentic AI technology, with experience of creating novel solutions to real-world problems and successfully delivering AI systems to production.
- Deep expertise in software engineering, application development and solution architecture, grounded in hands-on experience.
- Hands-on experience using AI-SDLC tooling (e.g. GitHub Copilot, Claude Code, Cursor) to accelerate individual and team engineering productivity.
- Experience of working in a regulated environment and managing reliability, security, safety and explainability risks.
- Experience of acting as a trusted advisor to executive leadership and influencing business strategy.
We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply.
What the job involves
We're looking for a Chief Engineer to lead our new Advanced AI Engineering team, reporting to the Group Director of Data & AI Architecture. This role sits at the forefront of Agentic AI adoption within the Data & AI Unit of the Chief Technology Office, where we define and lead the Group’s Data and AI technology strategy and incubate new AI-driven products and capabilities.
You'll be leading a team of applied research and development engineers to evaluate emerging AI technologies, build and deliver MVPs, and enable their transition into engineering at scale, with a focus on creating industry-leading AI-powered products and services that drive customer engagement and service excellence.
Acting as a senior leader and thought partner at Platform, CIO and Group level, you will be accountable for solving critical business and technology challenges, ensuring the delivery of high-quality conversational AI across channels with strong safety, reliability and auditability, while shaping technical direction, driving applied research and prototyping, and working closely with senior collaborators and engineering teams to align AI innovation with business strategy and ensure effective adoption at scale.
Head of Advanced AI Engineering in London employer: Lloyd's
As the Head of Advanced AI Engineering, you will join a forward-thinking organisation that prioritises innovation and employee development. Our collaborative work culture fosters creativity and encourages continuous learning, providing you with ample opportunities to grow your expertise in cutting-edge AI technologies. Located in a vibrant tech hub, we offer competitive benefits and a supportive environment where your contributions directly impact our mission to deliver industry-leading AI solutions.
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 your connections in the AI and tech space. Attend meetups, webinars, or conferences where you can chat with industry leaders and potential colleagues. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving GenAI and Agentic AI technologies. This is your chance to demonstrate your hands-on experience and innovative solutions to real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI-SDLC tooling. Be ready to discuss how you've used tools like GitHub Copilot to boost productivity. We want to see how you can lead teams and influence business strategy with your expertise!
✨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 and genuinely interested in joining our Advanced AI Engineering team.
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 speaks directly to the job description. Highlight your experience in leading AI projects and any hands-on work with GenAI and Agentic AI technologies. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us about your passion for AI and how you've tackled real-world problems with innovative solutions. Don’t forget to mention your experience in regulated environments and how you manage risks.
Showcase Your Technical Skills:We love seeing practical examples of your expertise! If you've used AI-SDLC tools like GitHub Copilot or Claude Code, share specific instances where these tools boosted productivity in your projects. This will help us understand your hands-on experience.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensure it gets the attention it deserves. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Lloyd's
✨Know Your AI Stuff
Make sure you brush up on your knowledge of GenAI and Agentic AI technologies. Be ready to discuss how you've applied these in real-world scenarios, especially in complex enterprise environments. Highlight any novel solutions you've created and the impact they had.
✨Showcase Your Leadership Skills
As a Head of Advanced AI Engineering, you'll need to demonstrate your experience in leading teams. Prepare examples of how you've guided research and development efforts, influenced business strategy, and acted as a trusted advisor to executive leadership.
✨Familiarise Yourself with AI-SDLC Tools
Get comfortable discussing AI-SDLC tooling like GitHub Copilot or Claude Code. Share specific instances where these tools have accelerated productivity in your projects. This shows you're not just knowledgeable but also hands-on and practical.
✨Understand Regulatory Challenges
Be prepared to talk about your experience working in regulated environments. Discuss how you've managed risks related to reliability, security, safety, and explainability in AI systems. This will show that you can navigate the complexities of delivering AI solutions responsibly.
