Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Atlanta, GA, USA; Cambridge, MA, USA; Reston, VA, USA.

Minimum qualifications:

Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
13 years of experience troubleshooting and triaging technical issues (e.g., hardware, software, application, operational, process.).
10 years of experience with two or more of the following: Web Technologies, Data/Big Data, Systems Administration, Machine Learning, Networking, Kubernetes, Oracle, SAP.
Experience reading code in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go, JavaScript) or in system design.

Preferred qualifications:

Experience leveraging Google Cloud Vertex AI and Gemini models to build production-grade agentic workflows (e.g., autonomous agents for code-generation, document processing, or complex system orchestration).
Experience developing software or infrastructure for high-scale distributed systems and machine learning technologies.
Understanding of model steering, evaluations (LLM Evaluation), and optimization techniques such as prompt caching, advanced function calling, and context window management.
Proven track record of identifying technical gaps in partner environments and building reusable assets, deployment kits, or "Platform-in-a-Box" solutions that reduce deployment time from months to weeks.

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 a Staff Partner Engineer for AI/ML, you will be the technical "tip of the spear" for Google’s AI partnership strategy. You will act as an entrepreneurial architect, responsible for making Gemini Enterprise a reality within our partners' unique environments. You won't just provide support; you will co-build and solve the "impossible" technical hurdles that prevent partners from reaching production at scale. Your work will directly impact how the world's largest organizations adopt Google’s AI ecosystem, accelerating the transition from pilot projects to enterprise-wide production value.

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.

The US base salary range for this full-time position is $222,000-$309,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Lead deep technical co-innovation with Google Cloud’s most strategic partners to architect and deploy generative AI solutions (e.g., Gemini Enterprise) in high-scale environments.
Identify and solve architectural bottlenecks that hinder partner deployment velocity, ranging from model steering and API performance to hybrid-cloud integration constraints.
Productize bespoke integration work into versioned, validated deployment baselines that can be scaled across the global partner ecosystem.
Act as an entrepreneurial technical lead, guiding partner CTOs and Principal Engineers on the "art of the possible" and long-term AI strategy.
Collaborate with internal Product and Engineering teams to feed partner requirements back into the development cycle, ensuring Google’s AI tools are enterprise-ready.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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