Principal AI Architect, Partner Co-Innovation, Google Cloud

Google
Sunnyvale, CA, USA / Atlanta, GA, USA / Austin, TX, USA

About the job

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.

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.

Qualifications

Minimum

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

5 years of experience architecting or leading the deployment of Enterprise AI/ML solutions, with deep expertise in