AI Tech Lead

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