Tech Lead, AI

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