AI Solution Architect

Job Description:

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 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 lauren.standen@axa-insurance.co.uk. #LI-Hybrid