AI Solutions Architect

• Design end-to-end AI and Generative AI solution architectures that are scalable, secure, resilient, and aligned with business outcomes and enterprise standards.
• Translate complex business challenges into pragmatic AI solutions, selecting appropriate technologies and architectural patterns and explaining the rationale, trade-offs, and risks behind decisions.
• Design solutions using modern AI patterns, including Retrieval Augmented Generation, Large Language Models, AI agents, orchestration, and enterprise integration.
• Work with engineering, data, product, and security teams throughout design, build, and implementation, providing hands-on architectural guidance and resolving technical challenges as solutions move towards production.
• Act as a technical authority for AI architecture, balancing innovation with security, governance, Responsible AI, operational resilience, and long-term maintainability.
• Build trusted relationships with senior technical and business stakeholders, simplify complex concepts, and influence technology decisions and our wider AI roadmap.
• Evaluate emerging AI technologies, platforms, and architectural patterns against business value, technical fit, scalability, cost, and organisational risk.
• Contribute to reusable AI reference architectures, design patterns, and architectural standards to support consistent adoption of AI capabilities across our organisation.

Technologies:

• AI
• AI Agents
• AWS
• Architect
• Azure
• Cloud
• Support
• Security
• Backbone
• Machine Learning, We are The AA, the nations leading motoring organisation. For over a century, we have evolved and expanded our products and services, from roadside assistance to home and motor insurance and driving technologies. Our Chief Operating Office supports growth and innovation across the organisation. As our AI Architect, you will help shape the enterprise architecture behind the next generation of intelligent products, services, and internal capabilities. This is a hands-on architecture role working across engineering, data, product, and security, with the opportunity to influence responsible AI adoption. The permanent, full-time role is based in London, with three office days per week. Benefits include an annual bonus, cash car allowance, private medical insurance, 25 days annual leave plus bank holidays and a holiday-buying scheme, a pension with up to 7% employer contribution, free AA breakdown membership and family discounts, discounts on AA products, a car salary sacrifice scheme and other employee discounts, company-funded life assurance, learning and development opportunities, an Employee Assistance Programme, and 24/7 remote GP services for you and your family. We are an equal opportunities employer, welcome applications from everyone, and value diversity and inclusion.

• Strong experience as a Solutions Architect, Technical Architect or similar, designing and delivering complex enterprise-scale technology solutions.
• Practical experience designing AI or Generative AI solutions, with the architectural depth to explain how components work together and why particular technologies or patterns were selected.
• Strong working understanding of modern AI architecture, including Large Language Models, Retrieval Augmented Generation, embeddings and vector search, AI agents, and orchestration patterns.
• Ability to evaluate technology options and clearly articulate architectural decisions, trade-offs, and risks.
• Hands-on approach to architecture, staying close to engineering and delivery teams throughout design, build, and implementation and providing credible technical guidance.
• Experience designing secure, scalable, and resilient cloud-native solutions in Azure, AWS, or a comparable cloud environment.
• Strong understanding of enterprise architecture considerations, including APIs and integration, security, data, observability, governance, operational resilience, and Responsible AI.
• Excellent stakeholder engagement and communication skills, including the ability to explain complex technical concepts to different audiences and build trusted partnerships across engineering, product, security, data, and the wider business.
• Collaborative and curious mindset, with a genuine interest in emerging AI technologies and the judgement to identify where they can deliver meaningful business value.