Principal AI Architect, Partner Co-Innovation, Google Cloud
Role details
Job location
Tech stack
Job description
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., * 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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Requirements
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), * 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
Benefits & conditions
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, The US base salary range for this full-time position is $234,000-$325,000 + 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 aboutbenefits at Google (https://careers.google.com/benefits/) .
