Purpose :

The AI Tech Lead is the quality 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.

Person Specification :

Essential :

- Demonstrable production experience using AI coding assistants (Claude Code, Cursor, GitHub Copilot or equivalent).

- Strong software engineering fundamentals - system design, testing, security, performance, independent of AI tools.

- Experience reviewing and critiquing AI-generated code at a team level, not just personal use.

- Comfortable leading a squad of 4-8 engineers in a client-facing delivery context.

- Fluent in at least one of : Node.js / TypeScript, Python, Java, Go.

- Clear communicator - able to explain trade-offs to both engineers and non-technical stakeholders.

Desirable :

- Familiarity with LLM API integration (OpenAI, Anthropic Claude, AWS Bedrock).

- Experience with RAG pipelines or agentic workflow design.

- AWS or equivalent cloud certification.

- Nearshore or distributed team experience.