Principal AI Architect, Partner Co-Innovation, Google Cloud

Google; Miami (FL); On-site; USD 233,000 - 324,000; Full time

Benefits offered by this job

Equity

Bonus

Benefits

Job summary

Google Cloud Platform enables customers to transform and scale their business with cloud-based security, reliability, and performance. This Principal Partner AI Architect role focuses on driving Gemini Enterprise adoption within partner environments and solving complex technical hurdles at scale.

You will co-build with partners, guide enterprise AI strategy, and influence cross-organizational roadmaps to accelerate production-ready deployments.

Qualifications

• 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).

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.

Skills

Cloud architecture

Software engineering

Technical consulting

Partner-facing

System design

Code reading

Education

Bachelor’s degree in Computer Science, STEM, or equivalent

Job description

The application window will be open until at least September 10, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Atlanta, GA, USA; Austin, TX, USA; Chicago, IL, USA; Boulder, CO, USA; Addison, TX, USA; Miami, FL, USA.

Minimum qualifications

• 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

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.

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 our 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

Responsibilities

Learn more about benefits at Google .

• 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.