Principal Engineer, Agentspace

Google is seeking a Principal Engineer for their Agentspace initiative, a groundbreaking platform that aims to unify enterprise search, assistance, and agent experiences. This role combines technical leadership with innovative AI development, focusing on creating a comprehensive solution for enterprise agent management and discovery.

The position requires an experienced technical leader who will shape the architecture and vision for Agentspace, which serves as an "app of apps" centralizing information and agent discovery across the enterprise. The platform empowers enterprise developers to integrate AI-powered search and agentic capabilities, improving employee productivity through cutting-edge AI technology.

As Principal Engineer, you'll be responsible for guiding technical strategy, architectural design, and quality execution for Agentspace applications. The role involves developing scalable solutions that address agent fragmentation, support various development methods, and enable seamless discovery and management of agents across the enterprise. You'll work with cutting-edge technologies including LLMs, ranking models, and search infrastructure.

The ideal candidate brings 15+ years of software development experience, deep expertise in machine learning and agent development, and a proven track record of driving technical collaboration across organizations. You'll need outstanding narrative and storytelling skills, expertise in LLM fine-tuning and prompt engineering, and the ability to work cross-functionally with various stakeholders.

This role offers competitive compensation ($294,000-$414,000 + bonus + equity + benefits) and the opportunity to shape the future of enterprise AI applications at one of the world's leading technology companies. You'll be working on innovative solutions that directly impact how enterprises discover, manage, and utilize AI agents, while contributing to Google's mission of organizing the world's information.