GenAI Architect - Global Insurance Firm

Join a leading organisation at the forefront of digital transformation and AI innovation. With significant investment in modernising systems and services, this is a rare opportunity to shape enterprise-scale AI architecture from the ground up.

Role: Generative AI Architect Location: London, Redhill, Tunbridge Wells, or Bristol (1-2 days/week in-office)Salary: £100k-£200k Eligibility: Must be authorised to work in the UKWe're hiring two GenAI Architects to drive the design and implementation of intelligent systems-spanning AI copilots, agentic automation, and GenAI-powered platforms. Reporting to the Head of Data Architecture, you'll work across business and technology teams to embed AI into both customer-facing services and internal operations.

• Lead the design and evolution of GenAI and AI architecture across the enterprise.

• Define solution patterns for integrating LLMs, GenAI, and agent-based systems into business workflows.

• Build pipelines that connect structured and unstructured data (e.g., Databricks, M365, SharePoint, Salesforce, ServiceNow).

• Guide engineering teams through reference implementations and scalable architecture models.

• Partner with platform teams on enabling LLMOps/AgentOps-covering prompt management, evaluation, observability, and governance.

• Collaborate with business stakeholders to shape AI use cases-automated summarisation, triage, classification, and decision support.

• Ensure secure, policy-compliant access to enterprise data in AI pipelines.

• Deep solution architecture experience across cloud, data, and business platforms.

• Proven experience designing or integrating AI/GenAI solutions such as copilots, chatbots, RAG systems, or automation tools.

• Understanding of GenAI and agentic design patterns, including orchestration frameworks and RAG.

• Experience with event-driven systems, messaging platforms, and APIs.

• Familiarity with AI governance standards (e.g., ISO 42001, NIST AI RMF, EU AI Act) and responsible AI design.

• Strong stakeholder skills-able to bridge the gap between business needs and technical delivery.

• Hands-on experience with Azure OpenAI, Azure ML, Databricks, M365 extensibility-or similar stacks.

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