Job description
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