Manager – Insurance Architect

Overview

In this role you shape AI-enabled insurance solutions and lead high-impact engagements for UK clients. You will drive AI strategy, GenAI and agentic offerings, collaborating with cross-functional teams to deliver complex digital architectures. You’ll nurture senior client relationships and contribute to thought leadership, ensuring responsible AI practices. This is a chance to influence AI-enabled transformation across Insurance and Financial Services with a growth-focused, collaborative team.

Pay / Benefits

• 30 days’ vacation
• Private medical insurance
• 3 extra days’ leave for charitable work
• Flexibility and mobility to work onsite with clients
• Extensive benefits package

Responsibilities

• Contribute to ML, AI & GenAI capability development and deliver AI solutions for Insurance/FS clients
• Define agentic and AI-powered solutions including data and platform foundations; lead senior client conversations
• Lead engagements from AI strategy and use-case prioritisation to architecture and build oversight
• Originate and grow relationships with CIOs, CTOs, CDOs and CISOs, coordinating across Accenture units
• Contribute to thought leadership through whitepapers, events, talks; mentor colleagues and grow the AI capability
• Stay current with industry developments and share knowledge with the AI & Data community
• Support proposals and development of new propositions
• Aim to improve client outcomes and drive transformational change

Key requirements

• 10+ years delivering enterprise technology solutions
• Strong understanding of ML, GenAI, and agentic technologies in Financial Services/Insurance
• Knowledge of agentic solution design patterns and tradeoffs
• Experience with cloud AI platforms (Azure AI/OpenAI, AWS Bedrock, GCP Vertex AI) and modern data platforms (Databricks, Snowflake)
• Awareness of deploying AI in regulated environments and responsible AI principles
• Excellent communication and stakeholder management; able to simplify complex AI concepts for executives
• Experience contributing to proposals and shaping new propositions
• Genuine drive to improve client and consumer outcomes

• Excellent communication
• Stakeholder management
• Leadership and mentoring
• ML, GenAI, agentic AI
• RAG patterns and AI architecture
• Data and platform foundations for AI

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