AI Architect, Partner Co-Innovation, Google Cloud

AI Architect, Partner Co-Innovation, Google Cloud Boulder, CO Job Details Full-time $183,000 - $265,000 a year 9 hours ago Benefits Paid holidays Disability insurance Health insurance Dental insurance Paid time off Parental leave Vision insurance 401(k) matching Qualifications System hardening Computer science Computer Science OAuth 2.0 5 years Software deployment Engineering System design Gap analysis Consulting experience Java Databases Analysis skills C++ Bachelor's degree in engineering Solution architecture design Entrepreneurship Bachelor's degree Machine learning Product management Software development User journey mapping Scalability Cloud Architecture Design (Architecture design skills) Bachelor's degree in mathematics Business requirements Identity and access management (IAM) solutions Senior level SaaS AI Bachelor's degree in computer science Leadership BigQuery Python Virtual Private Clouds Generative AI Identity & access management Full Job Description The application window will be open until at least April 28, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. This role may also be located in our Playa Vista, CA campus. Applicants in the

County of Los Angeles:

Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in

San Francisco:

Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees.

Benefits for this role include:

Health, dental, vision, life, disability insurance

Retirement Benefits:

401(k) with company match

Paid Time Off:

20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment

Sick Time:

40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks

Baby Bonding Leave:

18 weeks

Holidays:

13 paid days per year

Note:

Google's hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following: In-office locations: Sunnyvale, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Addison, TX, USA; Detroit, MI, USA; Houston, TX, USA; Irvine, CA, USA; Miami, FL, USA; New York, NY, USA; Portland, OR, USA; Pittsburgh, PA, USA; Los Angeles, CA, USA; San Diego, CA, USA; Reston, VA, USA; Seattle, WA, USA; San Francisco, CA, USA; Salt Lake City, UT, USA; Washington

D.C., DC, USA.

Remote location(s): California, USA; Illinois, USA; Massachusetts, USA; New York, USA; Texas, USA; Washington, USA.

Minimum qualifications:

Bachelor's degree in Computer Science, Science, Technology, Engineering and Mathematics, or equivalent practical experience. 7 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 in Multi-Agent Systems (MAS), reasoning engines, and advanced model steering. Experience resolving integration hurdles in Identity Orchestration (OAuth 2.0, OIDC, SAML) and cross-tenant security hardening (e.g., VPC-SC, IAM) within multi-tenant SaaS environments. Experience with production-grade RAG, Vector Databases (ScaNN/HNSW), and high-scale data interoperability (e.g., BigQuery Zero-Copy, AlloyDB AI). Experience defining user journeys, conducting gap analysis on technical platforms, and translating partner friction into prioritized Product Requirements Documents (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. As an 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 will 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 $183,000-$265,000 + 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 Manage technical co-innovation with Google Cloud's partners to architect and deploy generative Artificial Intelligence (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 Application Programming Interface (API) performance to hybrid-cloud integration constraints. Build bespoke integration works into versioned, validated deployment baselines that can be scaled across the global partner ecosystem. Act as an entrepreneurial technical, guide partner Chief Technology Officers (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.