Ecosystem Engineering Lead, AI and AI Platforms, Google Cloud
Listed on Alphabet’s official careers site. Listed as of October 23, 2026. Check that it is still open and apply there.
Apply on Alphabet’s careers site →Job description
info_outline About the job The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life.
As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As Ecosystem Engineering lead, you'll join and lead a dedicated team focused on AI and Agentic AI Platforms. You'll serve as a Generative AI subject matter expert, collaborating with Partners, Product Development, and Technical Sales to deliver Google Cloud AI products.
Your role involves helping prospective customers and partners grasp the power of Google AI. You'll explain technical features, assist in designing architectures, build AI-powered applications, and troubleshoot challenges. You'll also guide partners in leveraging Google Cloud’s Generative AI services, including Large Language Models, Agent Platforms, Tooling and specialized Machine Learning (ML) hardware developed by Google, called Tensor Processing Unit.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US
$233000 - $324000 (USD) + 25% bonus target + equity + benefits Learn more about benefits at Google .
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