PitchMeAI
Google

Principal AI Architect, Partner Co-Innovation, Google Cloud

Google · Austin, TX

This listing has closed — view similar roles below.

  • On site
  • Full-time
  • $279,500 / year
  • Austin, TX

Job highlights

  • Architect and deploy generative AI solutions with partners.
  • Solve complex technical hurdles for AI production.
  • Shape Google's AI partnership strategy.
  • Influence internal engineering roadmaps.
  • Drive enterprise-wide AI adoption.

About the role

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 their most critical business problems.

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.

Key skills/competency

  • Generative AI Solutions
  • Gemini Enterprise
  • Cloud Architecture
  • AI Partnership Strategy
  • Technical Co-Innovation
  • Scalable Deployment
  • Hybrid-Cloud Integration
  • AI Strategy
  • Partner CTO Engagement
  • Google Cloud Platform

Skills & topics

  • Principal AI Architect
  • Google Cloud
  • AI
  • Machine Learning
  • Cloud Computing
  • Architecture
  • Generative AI
  • Partnerships
  • Co-Innovation
  • Technical Consulting

How to get hired

  • Tailor your resume: Highlight cloud architecture, AI/ML, and partner-facing experience.
  • Showcase technical depth: Emphasize system design, code reading, and AI solution deployment.
  • Demonstrate strategic thinking: Provide examples of bridging technical execution with business strategy.
  • Prepare for technical interviews: Be ready to discuss AI/ML concepts, cloud solutions, and integration challenges.
  • Understand Google's culture: Research their commitment to innovation and customer success.

Technical preparation

Master cloud architecture concepts.,Deepen generative AI and ML expertise.,Practice system design and code review.,Study integration and security patterns.

Behavioral questions

Describe a complex technical challenge overcome.,How do you bridge business and tech strategy?,Explain your experience with partner collaboration.,How do you influence internal roadmaps?

Frequently asked questions

What is the application deadline for the Principal AI Architect role at Google Cloud?
The application window for the Principal AI Architect, Partner Co-Innovation position at Google Cloud will remain open until at least April 23, 2026. However, please note that the posting may be taken down earlier based on business needs.
What are the minimum qualifications for a Principal AI Architect at Google?
Minimum qualifications include a Bachelor's degree in Computer Science, STEM, or equivalent practical experience, 10 years in cloud computing architecture, software engineering, or technical consulting, experience in a partner/customer-facing role bridging technical and business strategy, and experience in system design or reading code (Java, C++, Python).
What is the salary range for a Principal AI Architect at Google Cloud in the US?
The US base salary range for this full-time position is $234,000-$325,000, plus bonus, equity, and benefits. The exact salary depends on factors like role, level, location, skills, experience, and education.
Does Google Cloud offer remote work options for the Principal AI Architect role?
Yes, Google Cloud offers remote work options for this role in California, Illinois, Massachusetts, New York, Texas, and Washington. You will have the opportunity to specify your preferred working location during the application process.
What type of AI/ML expertise is preferred for this Principal AI Architect position?
Preferred qualifications include 5 years of experience architecting or deploying Enterprise AI/ML solutions, with deep expertise in Multi-Agent Systems (MAS), reasoning engines, advanced model steering, production-grade RAG, Vector Databases, and high-scale data interoperability.
How does Google Cloud handle candidates with arrest or conviction records?
Google Cloud considers qualified applicants with arrest or conviction records in accordance with local laws such as the Los Angeles County Fair Chance Ordinance, California Fair Chance Act, and San Francisco Fair Chance Ordinance for Employers.
What are the key responsibilities of a Principal AI Architect at Google Cloud?
Key responsibilities include leading technical co-innovation with partners to architect and deploy generative AI solutions, solving architectural bottlenecks, productizing integration work, acting as a technical lead for partners, and collaborating with internal teams to refine AI tools.
What benefits does Google offer to US-based employees for this role?
Google offers a comprehensive benefits package including health, dental, vision, life, and disability insurance, 401(k) with company match, generous paid time off (20 vacation days, 40 sick hours annually), maternity leave, baby bonding leave, and 13 paid holidays.