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- Tasks: Lead a team to develop innovative AI solutions that transform the insurance industry.
- Company: Join Ageas/esure, a top UK insurer known for creativity and innovation.
- Benefits: Enjoy flexible working, generous holiday, health perks, and career development opportunities.
- Why this job: Shape the future of AI in insurance and make a real impact.
- Qualifications: Experience in AI delivery, leadership skills, and advanced NLP expertise required.
- Other info: Inclusive workplace with a commitment to diversity and employee well-being.
The predicted salary is between 100000 - 110000 £ 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.
Main Responsibilities
- Support and develop a small team, helping them grow and progress.
- Work with leaders to set and improve engineering and R&D standards.
- Shape the AI roadmap across both use cases and technology.
- Partner with senior stakeholders to understand processes and data, identifying high-value GenAI opportunities.
- Drive scalable AI delivery as part of the DataScience & AI team, contributing to innovation across the enterprise.
Skills and experience
- Provide technical leadership and mentoring, supporting the growth of a high-performing team.
- Proven experience delivering AI into production, solving real commercial problems and measuring impact.
- A self-starter with a track record of taking research and models through to production to drive tangible business and customer value.
- Comfortable working both autonomously and collaboratively in a fast-paced, cross-functional environment.
- Strong experience with advanced NLP, including developing models, prompt engineering and fine-tuning LLMs in a commercial setting.
Benefits
At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, contributing to Ageas being recognised as a Top Employer in the UK.
- Flexible Working: Smart Working within the UK and roles that include part-time/job-share options; minimum of 35 days holiday (inc. bank holidays) with the ability to buy and sell days.
- Health: Dental Insurance, Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities – Mindfulness.
- Wealth: 50% off esure and Sheilas' Wheels motor and home insurance, Annual Bonus Schemes, Annual Salary Reviews, Pension, Employee Savings, Employee Loans.
- Well-being at work: Well-being activities, mindfulness sessions, Sports and Social Club events and more.
- Family: Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks’ full pay.
- Other: Partner Life Assurance and Critical Illness cover, tech deals on gadgets, car salary exchange, cycle scheme, vehicle breakdown cover, return-to-work programme after maternity leave.
About Ageas
We are one of the largest car and home insurers in the UK. Our people help Ageas to be a thriving, creative and innovative place to work, serving over four million customers. We are committed to inclusive recruitment and welcome applicants from all backgrounds. We are signatories of the Race at Work Charter and Women in Finance Charter, and a Disability Confident Leader. We guarantee an interview for applicants with a disability who meet the minimum criteria for the role.
Lead AI Engineer employer: Ageas
Contact Detail:
Ageas 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. A friendly chat can lead to insider info about roles that might not even be advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that demonstrate your leadership and technical prowess. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and scenarios. Practice explaining your past projects and how they made an impact—this is your chance to shine!
✨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 Ageas.
We think you need these skills to ace Lead AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead AI Engineer role. Highlight your experience with AI, especially in production settings, and showcase any leadership roles you've had. We want to see how your skills align with our needs!
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 you can contribute to shaping our future at Ageas. Be sure to mention specific projects or achievements that demonstrate your expertise.
Showcase Your Technical Skills: In your application, don't forget to highlight your technical skills, especially in advanced NLP and model development. We’re looking for someone who can hit the ground running, so make it clear how your experience can drive impact.
Apply Through Our Website: We encourage you to apply through our official website. It’s the best way to ensure your application gets to the right people. 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 Ageas
✨Know Your AI Stuff
Make sure you brush up on your advanced NLP skills and any relevant AI projects you've worked on. Be ready to discuss specific models you've developed, how you've fine-tuned them, and the impact they've had in a commercial setting.
✨Show Your Leadership Skills
As a Lead AI Engineer, you'll need to demonstrate your ability to mentor and guide a team. Prepare examples of how you've supported team members in their growth and how you've set technical direction in previous roles.
✨Understand the Business Impact
Be prepared to talk about how your AI solutions have solved real commercial problems. Think of metrics or case studies that showcase the tangible business value your work has delivered.
✨Engage with Stakeholders
Since you'll be partnering with senior stakeholders, practice discussing how you've gathered requirements in the past. Show that you can translate complex technical concepts into language that non-technical stakeholders can understand.
