Principal AI Architect, Partner Co-Innovation,...

The Google Cloud Platform team helps customers transform and build what’s next for their business - all with technology built in the cloud. As a Principal Partner AI Architect, 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.

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 aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

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 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.

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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain., + Bachelor’s degree in Computer Science, STEM, or equivalent practical experience

• 10 years of experience in cloud computing architecture, software engineering, or technical consulting

• Experience in a partner-facing, customer-facing, or product management role bridging technical execution with business strategy

• Experience in either system design or reading code (e.g., Java, C++, Python)

Preferred qualifications:

• 5 years of experience architecting or leading the deployment of Enterprise AI/ML solutions, with deep expertise in Multi-Agent Systems (MAS), reasoning engines, and advanced model steering

• Experience resolving complex integration hurdles in Identity Orchestration (OAuth 2.0, OIDC, SAML) and cross-tenant security hardening (VPC-SC, IAM) within multi-tenant SaaS environments

• Experience with production-grade RAG, Vector Databases (ScaNN/HNSW), and high-scale data interoperability (BigQuery Zero-Copy, AlloyDB AI)

• Experience defining user journeys, conducting “gap analysis” on technical platforms, and translating partner friction into prioritized PRDs to influence internal engineering roadmaps