As AI Tech Lead 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

Education and Experience:

A degree (Masters preferred) in Computer Science, Engineering, Artificial Intelligence, Data Science, Applied Mathematics, or related fields.

Minimum 9+ years of hands-on experience in engineering and 2+ years in Leading the Team.

Technical Skills:

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 Skills:

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

Soft Skills:

Highly motivated, self-driven, entrepreneurial mindset, and capable of solving complex analytical problems under high-pressure situations.

Ability to work with cross-functional and cross-regional teams.

Ability to lead a team of Data/AI professionals and work with senior management, technological experts, and the product team.

Excellent written and verbal communication skills, comfortable with client communication.

Good leadership skills - ability to motivate and mentor team members, ability to plan and make sound decisions, ability to negotiate tactfully with the client and team.

Results-oriented, customer-focused with a passion for resolving tough technical and operational challenges.

Possess excellent analytical and problem-solving abilities.

Good documentation skills.

Experienced with Agile methodologies like Scrum/Kanban