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:
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A degree (Masters preferred) in Computer Science, Engineering, Artificial Intelligence, Data Science, Applied Mathematics, or related fields.
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Minimum 9+ years of hands-on experience in engineering and 2+ years in Leading the Team.
Technical Skills:
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Demonstrable production experience using AI coding assistants Claude Code,Cursor, GitHub Copilot or equivalent)
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Strong software engineering fundamentals - system design, testing, security,performance, independent of AI tools
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Experience reviewing and critiquing AI-generated code at a team level, not justpersonal use
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Comfortable leading a squad of 4-8 engineers in a client-facing deliverycontext
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Fluent in at least one of: Node.js / TypeScript, Python, Java, Go
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Clear communicator - able to explain trade-offs to both engineers andnon-technical stakeholders
Desirable Skills:
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Familiarity with LLM API integration OpenAI, Anthropic Claude, AWS Bedrock)
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Experience with RAG pipelines or agentic workflow design
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AWS or equivalent cloud certification
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Nearshore or distributed team experience
Soft Skills:
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Highly motivated, self-driven, entrepreneurial mindset, and capable of solving complex analytical problems under high-pressure situations.
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Ability to work with cross-functional and cross-regional teams.
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Ability to lead a team of Data/AI professionals and work with senior management, technological experts, and the product team.
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Excellent written and verbal communication skills, comfortable with client communication.
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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.
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Results-oriented, customer-focused with a passion for resolving tough technical and operational challenges.
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Possess excellent analytical and problem-solving abilities.
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Good documentation skills.
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Experienced with Agile methodologies like Scrum/Kanban
