spin · México
Skills: AWS
Objective We are seeking an AI Engineering Lead to join our AI Products Chapter and lead a team of AI Engineers that builds, deploys, and operates production-grade AI agents and agentic systems across Spin’s multi-business ecosystem. This is a technical people-leadership role: you combine the credibility of a hands-on engineer, comparable to Staff level, with accountability for delivery, quality, and the growth of your team. You partner with Product, Design, Data Science, and business leaders to turn the AI roadmap into reliable products. What you’ll do Lead, coach, and grow a team of AI Engineers (up to IC4): onboarding, performance check-ins, feedback, and career development within Spin's career framework. Own the delivery of your team’s AI agents roadmap: prioritize with Product Managers, plan, sequence, and commit to realistic outcomes. Set the technical direction with the Staff AI Engineers: architecture reviews, engineering standards, and build-vs-buy decisions (framework, model provider, retrieval, orchestration). Be accountable for production reliability: on-call readiness, incident response, post-mortems, and root-cause fixes. Set and uphold the quality bar for agentic systems: evals, guardrails, observability, and monitoring. Review architecture and critical code, and stay close enough to the technology to challenge and unblock your team. Partner with Product Managers, Designers, Data Scientists, and business teams from early discovery through launch and iteration. Manage capacity, headcount planning inputs, and cost of cloud and model usage (FinOps) for your team. Remove blockers, align stakeholders, and communicate status, risks, and trade-offs clearly to leadership. Hire and onboard: define profiles, run interviews, and calibrate the technical bar with Talent. Promote an AI-First culture, knowledge sharing, and responsible AI practices across the chapter. What we’re looking for Seniority: proven experience leading engineering teams while staying technic…
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