At a Glance
- Tasks: Shape AI architecture and design intelligent automation solutions for AXA's digital services.
- Company: Join AXA, a leader in innovative digital services and AI-powered excellence.
- Benefits: Competitive salary, bonuses, pension scheme, private medical cover, and 28 days leave.
- Why this job: Be at the forefront of AI technology and make a real impact in a dynamic environment.
- Qualifications: Experience in solution architecture and integrating AI systems into workflows.
- Other info: Flexible working arrangements and excellent career growth opportunities await you.
The predicted salary is between 36000 - 60000 ÂŁ per year.
It’s an exciting time to join the team at AXA, with significant investment across our UK & Ireland businesses to deliver smarter digital services and AI‑powered operational excellence. We’re looking for an AI Architect – seasoned platform or solution architects with strong foundations in enterprise platforms and data, and a growing focus on the design and enablement of AI‑powered, GenAI‑enhanced, and agentic systems.
Reporting to the Head of Data Architecture, you’ll be shaping how AXA adopts and scales intelligent automation, language models, and agentic AI capabilities across both customer‑facing products and internal operations. You’ll define architecture patterns, guide delivery teams, and work closely with engineering, product, and data colleagues to bring intelligent assistants, copilots, and workflow‑optimising AI systems to life.
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%) in the future. Away from home means either attendance at one of our office locations, visiting clients or attending industry events. We’re also happy to consider flexible working arrangements, which you can discuss with Talent Acquisition.
What you’ll be doing:
- Defining and evolving the enterprise GenAI and broader AI architecture roadmap aligned with AXA’s data and digital strategy
- Leading the design of enterprise solutions that embed LLMs, GenAI, and agentic automation into business workflows
- Designing solutions that connect structured and unstructured data sources and platforms, such as Databricks, Microsoft 365, SharePoint, Salesforce, Guidewire, ServiceNow, Workday into AI pipelines
- Providing technical leadership and guidance for pilot and solution delivery teams, building reference implementations and scaling successful patterns
- Partnering with platform and engineering teams to enable LLMOps and AgenticOps capabilities – prompt lifecycle management, model observability, caching, evaluation and governance
- Contributing to the growth of an AI‑ready architecture practice within AXA, including knowledge sharing and reference implementation development
- Collaborating with business teams to identify and shape use cases for AI‑powered automation, intelligent summarisation, triage, classification, and advisory systems
- Supporting integration with messaging systems, event‑driven architectures, and API ecosystems as part of AI solution delivery
What you’ll bring:
- Strong solution architecture experience in enterprise environments, ideally spanning cloud, data, API integration, and business applications
- Experience designing and/or integrating AI‑powered systems into operational workflows – including intelligent assistants, generative search, intelligent summarisation, automation platforms, or AI‑enabled UIs
- Knowledge of GenAI models and GenAI application patterns including retrieval‑augmented generation (RAG) and agent‑based architectures, and orchestration frameworks
- Experience with messaging technologies, event mesh concepts, and API‑driven integration
- Working knowledge of AI governance frameworks such as ISO/IEC 42001, NIST AI RMF, or EU AI Act and an understanding of responsible AI frameworks and ethical principles for design
- Strong stakeholder engagement skills; ability to work across business, engineering, and data teams to shape pragmatic, future‑facing AI solutions
- Proven experience with Azure‑native services, such as Azure OpenAI, Azure ML, Cognitive Search, Microsoft 365 extensibility, Azure Databricks; or alternatives
- Knowledge of architectural patterns for secure access to both structured and unstructured data, including classification, masking, and policy enforcement
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 dependent on experience
- Annual company & performance‑based bonus
- Contributory pension scheme (up to 12% employer contributions)
- Life Assurance (up to 10 Ă— 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’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 lauren.standen@axa‑insurance.co.uk.
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’ve got heaps of experience and qualifications behind you, or you’re just starting out, we’ll give you the support and opportunities to help you grow and develop with confidence.
GEN AI Architects employer: 55 Redefined Ltd
Contact Detail:
55 Redefined Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GEN AI Architects
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend events, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in AI architecture. This is a great way to demonstrate what you can bring to the table beyond just your CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI architecture. Think about how you can showcase your experience with GenAI models and enterprise solutions during the chat.
✨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 AXA.
We think you need these skills to ace GEN AI Architects
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI Architect role. Highlight your experience with enterprise platforms, data integration, and any AI-powered systems you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI architecture and how your background makes you a perfect fit for AXA. Don’t forget to mention specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills: In your application, be sure to highlight your technical skills, especially those related to GenAI models, API integration, and cloud services like Azure. We’re looking for someone who can hit the ground running, so let us know what you bring to the table!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at 55 Redefined Ltd
✨Know Your AI Stuff
Make sure you brush up on your knowledge of GenAI models and application patterns. Be ready to discuss how you've integrated AI-powered systems into workflows, as this will show your practical experience and understanding of the role.
✨Showcase Your Architecture Skills
Prepare to talk about your experience with enterprise architecture, especially in cloud and data environments. Have examples ready that demonstrate your ability to design solutions that connect various data sources and platforms.
✨Engage with Stakeholders
Highlight your stakeholder engagement skills during the interview. Be prepared to discuss how you've collaborated with business, engineering, and data teams to shape AI solutions, as this is crucial for the role at AXA.
✨Ask Smart Questions
Come equipped with insightful questions about AXA's AI strategy and how they envision the future of intelligent automation. This shows your genuine interest in the company and the role, and it can help you stand out from other candidates.