Principal Engineer, Gemini Cloud Assist
About The Position
Gemini Cloud Assist is the Google Cloud AI-powered cloud management product portfolio that transforms the experience of our customers across all surfaces to learn, design, deploy, operate, investigate, and optimize their applications, workloads, and services. The AI space is evolving rapidly with newer and powerful models, agent frameworks, protocols, and security. As a Principal Engineer, you will strategize, build, and develop Gemini Cloud Assist. You will transform how enterprise customers consume and manage their businesses in the cloud and how they can influence and work across Google Cloud, Google DeepMind, and external AI ecosystems. In this role, you will be responsible for the Gemini Cloud Assist products, platforms, and tooling; defining the usage of agentic infrastructure, models and planners, agent frameworks, agentic protocols, quality frameworks, and MCP server integrations; and evolving newer agentic use cases to transform the Google Cloud experience. You'll work in partnership with multiple other technical leaders across Google Cloud Platform and build Gemini Cloud Assist that is compliant, enterprise ready, and built for scale. 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.
Requirements
- Bachelor's degree in Computer Science, Mathematics, or other relevant engineering discipline, or equivalent practical experience.
- 15 years of experience working as a technical software engineering leader or 13 years with an advanced degree.
- Experience with technical innovation within cross-functional engineering environments.
Nice To Haves
- Master's or PhD degree in Computer Science, Mathematics, or other relevant engineering discipline, or equivalent practical experience.
- Experience successfully producing software products and large-scale distributed systems.
- Strong expertise building Gen AI, ML products, agent frameworks, agent protocols (e.g., MCP, A2A), RAG, prompt engineering, evals.
Responsibilities
- Provide architecture and technical direction for the team by being an expert in Gen AI and cloud application management.
- Strategize and create the technical roadmap for building agentic, LLM powered, contextual cloud assistance products, platforms, and tooling to transform the Google Cloud application experiences.
- Work with all the product areas and influence stakeholders across the organization to build joint roadmaps and drive adoption of Gemini Cloud Assist.
- Influence, guide, mentor, and direct multiple engineering technical leads across each product area.
Benefits
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
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What This Job Offers
Job Type
Full-time
Career Level
Principal
