Role:
Technical Lead – Applied AI Scrum Team
Location:
Mexico City (Hybrid – 3 days in office) Employment Type:
Full-Time Reports to:
Applied AI Engineering Leadership
Experience 10+ years in software engineering, incl. 2+ years in a technical leadership role
Role Summary The Technical Lead owns the tactical technical decisions for the team and is the hands-on anchor for architecture, code quality and delivery. This person sets the technical direction, unblocks the team, and ensures the product is built to scale across markets on a cloud-agnostic platform.
Key Responsibilities Make day-to-day tactical technical decisions and drive architecture for the Virtual C-Suite product. Lead design and hands-on development of scalable microservices in Java / Spring Boot and AI capabilities in Python. Own engineering quality – design reviews, code reviews, coding standards, and technical debt management.
Guide integration of Azure AI Foundry / LLM models (Claude, GPT-4.1, Mistral) into product workflows. Ensure robust CI/CD, observability and Kubernetes-based deployment across Azure (and emerging AWS) environments. Mentor senior SDEs and QE, and collaborate with the TPM on roadmap, estimates and exit criteria. Champion autonomy – enable the team to independently plan and deliver roadmap priorities.
Must-Have Skills Strong hands-on Java / Spring Boot; solid Python for AI/LLM integration. Microservices, REST APIs, event-driven design; No SQL / document databases. Cloud-native engineering on Azure (AWS a strong plus); Kubernetes and CI/CD pipelines. Proven experience taking products from concept to production at scale. Excellent technical judgement, communication and mentoring ability.