At a Glance
- Tasks: Shape AI solutions and innovate business processes at a leading global insurance company.
- Company: Join AXA, a top player in insurance and financial services worldwide.
- Benefits: Flexible working arrangements, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and career development.
- Why this job: Make a real impact by integrating cutting-edge AI into customer-facing products and operations.
- Qualifications: Experience in AI architecture, governance, and integration within enterprise environments.
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: We have a new opportunity for an AI Solution Architect to join us. Reporting to the Head of Data and AI Architecture Guild, 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 security, engineering, product, and data colleagues to bring intelligent assistants, copilots, and workflow-optimising AI systems to life.
Key responsibilities:
- Defining and evolving the enterprise GenAI and broader AI architecture roadmap aligned with AXA’s data and digital strategy
- Leading the architectural design of an enterprise AI Trust and Controls layer to manage AI Trust risks, such as data risks (e.g. toxicity, sensitive data leakage), prompting risks (e.g. prompt injection, jail breaking), application and security risks (e.g. insecure output handling, poisoned model usage), etc.
- Innovating and reimagining business processes to take competitive advantage via the use of AI
- Leading the design of enterprise solutions that embed LLMs, GenAI, and agentic automation into business workflows
- Liaising with integration teams to support design and delivery end-to-end across structured and unstructured data sources and platforms, such as Databricks, Microsoft 365, SharePoint, Salesforce, Guidewire, ServiceNow, Workday, etc.
- Providing technical leadership and guidance for pilot and solution delivery teams, building reference implementations and scaling successful patterns
- Partnering with security, 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
- Supporting integration with messaging systems, event-driven architectures, and API ecosystems as part of AI solution delivery
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%) in the future. 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:
- Strong understanding of AI Gov Ops and AI Observability market landscape (such as solutions, frameworks and libraries) and architectural approaches to implementation of preventative, detective and corrective AI risk controls
- 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
- 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
- Strong stakeholder engagement skills; ability to work across architecture, security, business, engineering, and data teams (data protection, data risks, AI governance) 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
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.
AI Solution Architect 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 AI Solution Architect
✨Dive Into Industry Networking Events
Get your foot in the door by attending insurance industry events and conferences. Not only will you learn about the latest trends, but you'll also meet potential employers and industry peers. Check out local chapters of professional bodies like the Chartered Insurance Institute for valuable meetups.
✨Use LinkedIn to Your Advantage
Don’t underestimate the power of LinkedIn in the insurance world. Engage with industry content, join relevant groups, and connect with professionals at companies you admire (like AXA Group). A thoughtful message explaining your interest can really make a difference!
✨Look Out for Graduate Schemes
Many firms in insurance have structured graduate programmes. Keep an eye on application windows and utilise your university's career services for insider tips. These schemes are designed to develop talent and often lead to permanent roles after your initial training.
✨Leverage Your Current Connections
Got friends or family in the industry? Now’s the time to reach out! Personal referrals can give you a head start, so let them know you're on the lookout for full-time opportunities at places like AXA Group. Don’t shy away from asking for a coffee chat; you never know what doors it might open!
We think you need these skills to ace AI Solution Architect
Some tips for your application 🫡
Highlight Your Analytical Skills:In insurance, we love a candidate who can crunch numbers and analyse data effectively. When crafting your CV, make sure to showcase any relevant coursework or experiences that highlight your analytical abilities, especially if you’ve tackled risk assessment or financial modelling.
Showcase Industry Knowledge:Don’t be shy about your knowledge of the insurance sector! We want to see that you've done your homework on current trends, regulations, and challenges in the industry. Mention any relevant projects or studies you’ve completed that demonstrate your understanding of the field in your cover letter.
Craft a Compelling Cover Letter:Your cover letter should tell us why you’re passionate about insurance. Share any personal experiences or what drew you into this profession. We’re looking for enthusiasm and a clear motivation for why you want to be part of our team at AXA Group.
Tailor Your CV for the Role:Don't just send a generic CV! Focus on tailoring it specifically for the insurance role at AXA Group. Highlight relevant skills such as risk management, customer service experience, or any certifications you've earned in the industry to make your application stand out.
How to prepare for a job interview at AXA Group
✨Know Your Numbers: Insurance Fundamentals
Brush up on your understanding of key insurance concepts, like underwriting principles and risk assessment. Expect the interviewer at AXA Group to throw some technical questions your way, so be ready to demonstrate your grasp of these essentials.
✨Showcase Your Analytical Side
In the insurance world, it's all about data. Prepare to discuss any analytical tools or methodologies you've used in past experiences. If you have a portfolio of projects where you've tackled complex data, bring that along to impress the team!
✨Prepare for Behavioural Questions
As a full-timer at AXA Group, they'll want to know how you handle real-life scenarios, not just theory. Think about challenges you've faced in teamwork or customer service, and how those experiences can relate to a career in insurance.
✨Know the Company Culture Inside Out
Understanding AXA Group's values and workplace culture is essential. Don’t just memorise their mission statement; think about how your personal values align with theirs. This will show your genuine interest in being part of their team long-term.
