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