At a Glance
- Tasks: Lead the development of innovative AI solutions and oversee cross-functional teams.
- Company: AXA, a global leader in insurance and financial services.
- Benefits: Flexible working arrangements, competitive salary, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
- Why this job: Make a real impact in AI while working with cutting-edge technologies.
- Qualifications: Extensive engineering experience and knowledge of AI applications.
The predicted salary is between 49500 - 60500 £ per year.
About AXA: AXA is a global leader in insurance and financial services, dedicated to helping customers protect what matters most to them.
As the sixth-largest insurance company in the world, we provide a wide range of services, including health, car, home, and business insurance.
We support millions of customers worldwide, helping them navigate life's uncertainties with confidence.
AXA UK Support Functions look after our three customer-facing business units, providing the infrastructure and expertise to make sure we can be there for our customers.
Job overview: Are you a passionate and experienced software engineer with skill in Agentic AI and Machine Learning?
We're on the lookout for a Lead AI Engineer to take the helm of our AI initiatives.
You'll lead the development of cutting-edge solutions centred around large language models and steer our efforts in Agentic AI.
If you're eager to innovate and make a real impact in the world of AI, we'd love to hear from you!Key responsibilities: Lead the design, development, and deployment of AI applications within AXA, ensuring they follow AXA SDLC standards and integrate smoothly with existing systems.
Oversee the creation of AI Agents, including Task, Domain, and Orchestrator Agents, using multi-agent frameworks, and guide the team on best practices.
Develop key parts of the Agentic AI system, such as memory, guardrails, orchestration, and tools marketplace, to enable advanced AI solutions.
Drive the development of AI products and services like Conversational AI, Doc AI, Predictive Analytics, and Content Generation, making effective use of AI tools.
Work with Data Engineers to design scalable data pipelines and infrastructure to support AI applications.
Set and monitor performance metrics for AI systems, Agents, and the overall Agentic AI system to ensure ongoing improvements.
Lead and organise cross-functional teams in an Agile way to deliver AI solutions, foster innovation, and share knowledge while staying updated on AI trends.
Work arrangements: At AXA we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers.
You'll work at least two days a week (40%) away from home, moving to three days a week (60%) from December 2026.
Away from home means attending the office, visiting clients or attending industry events.
We're also happy to consider flexible working arrangements, which you can discuss with Talent Acquisition.
Your skills & experience: Extensive full-stack engineering experience, with practical knowledge of Dev Ops deployment pipelines and containerisation using Docker and Kubernetes.
Proven track record in building cloud-native applications, particularly within Azure environments.
Experience in developing Gen AI applications, including retrieval-augmented generation (RAG), prompt and context engineering, and integrating large language model (LLM) APIs.
Understanding of Agentic AI components and infrastructure, including orchestration, memory management, and evaluation methodologies.
Proficiency in programming languages such as Python, SQL, and Node. js, with familiarity with React being a plus.
Applied experience in designing scalable, reliable AI solutions in a cloud environment.
Ability to optimise development workflows and implement best practices in continuous integration and deployment.
As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom.
How to apply: To apply, click on the 'apply now' button, you'll then need to log in or create a profile to submit your CV.
We're proud to be an Equal Opportunities Employer and don't discriminate against employees or potential employees based on protected characteristics.
If you have a long-term condition or disability and require adjustments during the application or interview process, we're proud to offer access to the AXA Accessibility Concierge.
For our support, please send an email to leanne. white@axa-insurance. co. uk.
We encourage you to apply for this opportunity as soon as possible, as we may close this advert earlier than the listed closing date.#LI-DNI
Lead AI Engineer in Bristol employer: AXA Group
AXA is an exceptional employer, offering a supportive and dynamic work environment in Tunbridge Wells for nurses looking to make a meaningful impact. With a strong focus on employee growth, we provide comprehensive training, flexible working arrangements, and the opportunity to work from home, ensuring a healthy work-life balance. Join our dedicated health support team and enjoy the benefits of being part of a global leader in insurance, where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer in Bristol
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at AXA Group or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to AXA Group.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like AXA Group.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like AXA Group that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Lead AI Engineer in Bristol
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at AXA Group.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at AXA Group and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at AXA Group
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If AXA Group uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
