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- Tasks: Lead a team to develop AI solutions that transform the insurance industry.
- Company: Join Ageas/esure, a forward-thinking company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of AI in insurance and make a real impact.
- Qualifications: Experience in AI engineering and strong leadership skills.
- Other info: Hybrid work model with a focus on collaboration and innovation.
The predicted salary is between 80000 - 120000 £ per year.
Step into a role where your work shapes the future of insurance. At Ageas/esure, we’re building on an exciting foundation of 20 live AI use cases already empowering over 900 frontline colleagues — and we’re just getting started!
As a Lead AI Engineer, you’ll take a central role in driving and delivering the next generation of AI‑powered solutions across our business. You’ll lead a team of AI Engineers of all levels, setting technical direction, owning end‑to‑end project delivery and ensuring our solutions generate real, measurable impact. Alongside your hands‑on technical work, you’ll mentor and develop the team, guide requirement‑gathering with stakeholders, and play a key part in defining our future AI strategy.
If you’re motivated by technical leadership, large‑scale impact and building high‑performing AI capability, this is a chance to truly shape our AI future.
Lead AI Engineer employer: Ageas UK
Contact Detail:
Ageas UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a Lead AI Engineer role or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past AI projects and successes. This will not only demonstrate your technical prowess but also give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and scenarios. Practice articulating your thought process and how you've led teams in the past, as this will be crucial for a leadership role.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from candidates who are genuinely interested in shaping the future of AI with us. It shows initiative and enthusiasm!
We think you need these skills to ace Lead AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Lead AI Engineer role. Highlight your technical leadership and any relevant AI projects you've worked on, as we want to see how you can shape our AI future.
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 experience can drive impactful solutions at Ageas/esure. We love seeing genuine enthusiasm for the role!
Showcase Your Team Leadership Skills: Since this role involves leading a team, be sure to mention any past experiences where you've mentored others or led projects. We’re looking for someone who can inspire and guide our AI Engineers to success.
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 don’t miss out on any important updates regarding your application status!
How to prepare for a job interview at Ageas UK
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI. Be ready to discuss your experience with AI projects, especially those that had a measurable impact. This shows you’re not just knowledgeable but also passionate about the field.
✨Showcase Your Leadership Skills
As a Lead AI Engineer, you'll be expected to lead a team. Prepare examples of how you've successfully managed teams or projects in the past. Highlight your mentoring experiences and how you've guided others to achieve their goals.
✨Understand the Business Impact
Familiarise yourself with how AI can transform the insurance industry. Be prepared to discuss how your work can drive business outcomes and improve customer experiences. This will demonstrate that you think beyond just the technical aspects.
✨Engage with Stakeholders
Since you'll be guiding requirement-gathering with stakeholders, practice how you would communicate complex AI concepts to non-technical audiences. Show that you can bridge the gap between tech and business, making you an invaluable asset to the team.
