Design, build, deploy, and operate production AI/ML systems on Google Cloud. Develop clean, tested Python; evaluate model quality; manage cloud networking and security; and ensure data and models remain within client boundaries. Explain AI trade-offs to clients, collaborate with Google Cloud teams, and own outcomes from prototype through reliable production use.

Design, secure, automate, and troubleshoot Google Cloud environments for partners and public sector clients. The role focuses on secure-by-default cloud foundations, networking, auditability, infrastructure automation, methodical debugging, and communicating technical decisions to clients and security reviewers. Candidates need substantial hands-on Google Cloud experience, a Professional Google Cloud certification, and six hours of daily overlap with North American Eastern time.

Designs and builds end-to-end data platforms on Google Cloud for regulated-sector clients. Responsibilities include developing reliable pipelines, modeling scalable data systems, optimizing performance and cost, ensuring data governance and regional compliance, and applying cloud networking and security practices. The role requires strong SQL and Python skills, client-facing communication, and ownership of project outcomes.