About this role
As Tech Lead, AI the quality is to be a guardian for AI-augmented delivery. This is not a pure management role, they should be shipping code, reviewing AI-generated output, and making architectural decisions. They are the person who knows when to trust the AI and when to override it. Key Responsibilities: Lead technical direction on AI-augmented projects, own architecture decisions and ADRs Review and validate AI-generated code; enforce quality, security, and performance standards. Mentor engineers on effective use of agentic tools Claude Code, Cursor, Copilot) by ensuring engineers know what these tools are doing for them. Assess and benchmark AI tooling for the team - identify what genuinely accelerates delivery vs. what creates noise Collaborate with the client and delivery team to scope features where AI can reduce time-to-market Identify and mitigate AI-specific risks: prompt injection, hallucinated dependencies, licensing exposure in generated code Champion engineering practices such as testing, observability, security all the things that remain non-negotiable in an AI-assisted workflow