Technical Lead (AI Native)

In this AI-native Technical Lead role, you guide the design, development, and deployment of a new Castle Fintech platform within N Brown. You’ll drive AI agent-driven implementation and establish standards and guardrails for secure, high-quality software. You operate like an independent start-up inside a larger organisation, delivering iterative, AI-first software in collaboration with cross-functional teams. Your work directly shapes a bank-like financial services capability that supports inclusive digital commerce.

• hybrid working
• 24 days holiday (+8 bank holidays)
• annual bonus scheme
• enhanced maternity and adoption leave
• company pension with up to 8% contribution
• mental health support and wellbeing services

• Take technical ownership across all software development stages, including agent-generated code
• Plan and drive software construction, orchestrating AI agents to implement features
• Adopt and tailor software development methods, AI tools, and techniques
• Contribute to policies, standards, and guidelines for AI-enabled software development
• Deploy automation and AI agents to achieve secure, well-engineered outcomes
• Design large/complex applications and break work into agent-friendly tasks
• Contribute to architecture standards and software delivery policies
• Maintain support processes and ensure timely handling of requests
• Use management tools and AI agents to monitor performance and generate reports
• Maintain release, deployment, and configuration management practices
• Coach colleagues in AI-native development and target skill alignment
• Foster effective cross-team relationships and continual improvement of practices
• Rigorously review agent-generated code and improve agent workflows

• AI-native software development experience with coding agents (e.g., Claude Code, GitHub Copilot)
• Context engineering: specifications, agent instructions and guardrails
• JavaScript/TypeScript development with ability to review agent-generated code
• Node.js serverless microservices (AWS Lambda preferred)
• AWS serverless frameworks (Serverless, AWS SAM, AWS CDK)
• Jest or similar unit testing for agent output
• Contract/API testing
• RESTful service consumption (JSON)
• CI/CD and source control (Git, Azure DevOps/GitLab)
• Agile delivery experience
• Managing risks of AI-generated code (security, quality, maintainability)

• coaching and mentoring
• stakeholder collaboration
• ability to balance engineering and agent effort
• Claude Code
• GitHub Copilot
• Cursor