At a Glance
- Tasks: Lead AI projects, develop innovative solutions, and shape the future of technology.
- Company: Join AXA, a leader in AI innovation with a collaborative culture.
- Benefits: Competitive salary, bonuses, pension scheme, private medical cover, and 28 days leave.
- Other info: Flexible working arrangements and excellent career growth opportunities await you.
- Why this job: Be at the forefront of AI development and make a real impact on technology.
- Qualifications: Extensive software engineering experience, especially in Generative AI and cloud-native applications.
The predicted salary is between 60000 - 84000 £ per year.
Are you passionate about pushing the boundaries of AI and eager to lead exciting projects that shape the future of technology? We are on the lookout for a Principal AI Engineer to spearhead our AI initiatives. If you have a wealth of experience in software engineering, combined with deep expertise in Generative AI and Machine Learning, we would love to hear from you.
Join us to lead the development of innovative solutions around Large Language Models (LLMs) and help drive our pioneering efforts in Agentic AI, shaping the next chapter in AI innovation. 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 will work at least two days a week (40%) away from home, moving to three days a week (60%) in the future. Away from home means either attendance at our Bristol office, visiting clients or attending industry events. We are also happy to consider flexible working arrangements, which you can discuss with Talent Acquisition.
What you will be doing:
- Lead the design, development, and deployment of AI and GenAI applications, ensuring alignment with AXA SDLC standards and seamless integration into existing systems.
- Oversee the creation of AI Agents such as Task, Domain, and Orchestrator, using multi-agent frameworks, guiding best practices across the team.
- Architect and develop core components of the Agentic AI system, including memory, guardrails, orchestration, and tools marketplace.
- Drive the development of AI products across Conversational AI, DocAI, Predictive Analytics, and Content Generation, leveraging the latest AI tools.
- Collaborate with Data Engineers to design scalable data infrastructure supporting AI solutions, and establish performance metrics for evaluation.
- Lead cross-functional, Agile teams to deliver AI solutions, organise ceremonies, and ensure continuous improvement and delivery.
- Stay abreast of emerging AI and machine learning trends, advocating for innovative adoption and sharing knowledge within the team.
- Promote thorough documentation and a culture of learning, ensuring knowledge sharing and best practices are embedded throughout the team.
Due to the number of applications we expect to receive for this role, we reserve the right to close this advert earlier than the listed closing date to ensure we are able to effectively manage interest. Therefore, if you are interested in joining us at AXA, please do not hesitate to apply.
What you will bring:
- Extensive full stack engineering experience, with practical knowledge of DevOps deployment pipelines and containerisation tools such as Docker and Kubernetes.
- Proven track record in building cloud-native applications, with a strong preference for Azure environments.
- Demonstrable experience in developing Generative AI applications, including RAG, prompt engineering, context management, and LLM API integration.
- Deep understanding of Agentic AI components and infrastructure, including orchestration and evaluation methodologies.
- Experience working within regulated environments, with an understanding of the Financial Services sector.
- Proficiency in programming languages such as Python, SQL, and knowledge of React would be advantageous.
As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom.
What we offer:
- Competitive annual salary of up to £100,000 dependent on experience.
- Annual company & performance-based bonus.
- Contributory pension scheme (up to 12% employer contributions).
- Life Assurance (up to 10 x annual salary).
- Private medical cover.
- 28 days annual leave plus Bank Holidays.
- Opportunity to buy up to 5 extra days leave or sell up to 5 days leave.
- Wellbeing services & resources.
- AXA employee discounts.
To apply, click on the 'apply for this job' button, you will then need to log in or create a profile to submit your CV. We are proud to be an Equal Opportunities Employer and do not 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 are proud to offer access to the AXA Accessibility Concierge. For our support, please send an email to #LI-DNI.
Who we are:
AXA UK Support Functions power AXA's three customer-facing business units, providing the infrastructure, support and expertise to ensure our customers can always count on us. Whether you have heaps of experience and qualifications behind you, or you are just starting out, we will give you the support and opportunities to help you grow and develop with confidence.
Principal AI Engineer in Bristol employer: AXA Group
At AXA, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Principal AI Engineer, you'll enjoy a competitive salary, generous benefits including a contributory pension scheme and private medical cover, and the flexibility to balance your work between home and our vibrant Bristol office. We are committed to your professional growth, providing ample opportunities for learning and development in the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Principal AI Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Generative AI and Machine Learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI and be ready to discuss your past experiences in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining us at AXA and being part of our innovative team.
We think you need these skills to ace Principal AI Engineer in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Principal AI Engineer role. Highlight your expertise in Generative AI and Machine Learning, and don’t forget to mention any relevant projects you've led!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to express your passion for AI and how you can contribute to our innovative projects. Be sure to mention why you're excited about working with us at AXA.
Showcase Your Projects:If you've worked on any cool AI projects, make sure to include them in your application. We love seeing real-world applications of your skills, especially if they involve LLMs or Agentic AI!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it’s super easy to create a profile and submit your CV!
How to prepare for a job interview at AXA Group
✨Know Your AI Stuff
Make sure you brush up on the latest trends in Generative AI and Machine Learning. Be ready to discuss your experience with Large Language Models and how you've applied them in real-world scenarios. This will show that you're not just knowledgeable but also passionate about the field.
✨Showcase Your Leadership Skills
As a Principal AI Engineer, you'll be leading teams and projects. Prepare examples of how you've successfully led cross-functional teams in the past. Highlight your experience in Agile methodologies and how you've driven continuous improvement in your previous roles.
✨Demonstrate Technical Proficiency
Be ready to dive deep into your technical skills, especially in full stack engineering and cloud-native applications. Familiarise yourself with tools like Docker, Kubernetes, and Azure, and be prepared to discuss how you've used them in your projects.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about AXA's AI initiatives and how they align with your career goals. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
