About this role
Based in Brazil, the AI Coach Tech Lead/Architect role at Palo-it involves directing end-to-end technical delivery while coaching teams on scalable software solutions. This position suits experienced software engineering leaders with a strong background in backend development and AI-assisted engineering practices.
Role Overview
This position functions as a software architect with a focus on AI coaching, guiding teams toward maintainable, secure, and scalable solutions while managing hands-on technical delivery when necessary.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Palo-it is a global technology consultancy operating with an AI-first approach called Gen-e2 that transforms how organizations build digital products. The company is a B Corp-certified enterprise, a World Economic Forum New Champion, and an independent organization founded in 2009 with a team of over 450 experts across ten countries.
How to Apply
Interested candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the primary focus of the AI Coach Tech Lead/Architect role?
The role focuses on leading the end-to-end technical delivery of digital products, guiding teams toward secure and scalable solutions, and driving AI-first engineering practices.
How many years of experience are required for this position?
Candidates must have 10+ years of software engineering experience with proven technical leadership.
What backend language is required for this role?
Strong backend expertise in Java, ideally versions 17, 21, or 25+, is required.
What AI tools are expected to be used in daily engineering tasks?
Generative AI coding tools such as GitHub Copilot and Cursor are utilized as first-class engineering assistants for tasks like code scaffolding, refactoring, documentation, and debugging.
What professional background does Palo-it have as a company?
Palo-it is an independent, B Corp-certified global technology consultancy founded in 2009 that applies an AI-first approach called Gen-e2 to help enterprises build digital products.
