Principal AI Architect, Enterprise GenAI

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

Job summary

The Google Cloud Platform team seeks a Principal AI Architect to lead co-innovation with strategic partners. You’ll architect generative AI deployments, bridge technical execution with business goals, and influence internal roadmaps to scale Gemini Enterprise in varied environments.

Experience in cloud architecture, partner-facing roles, and strong coding knowledge (Java/C++/Python) are essential for driving enterprise AI adoption and transformation.

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 in high-scale environments.
• Identify and solve architectural bottlenecks that hinder partner deployment velocity across models and integrations.
• Productize bespoke integration work into deployment baselines scalable across the global partner ecosystem.
• Act as entrepreneurial technical lead guiding partner CTOs and engineers on AI strategy.
• Collaborate with internal teams to feed partner requirements back into development cycles.

Skills

Cloud architecture

Stakeholder influence

Problem solving

Programming: Java, C++, Python

Education

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

Tools

MAS (Multi-Agent Systems)

OAuth 2.0 / OIDC / SAML

BigQuery Zero-Copy / AlloyDB AI

Job description

The Google Cloud Platform team seeks a Principal AI Architect to lead co-innovation with strategic partners. You’ll architect generative AI deployments, bridge technical execution with business goals, and influence internal roadmaps to scale Gemini Enterprise in varied environments.

Experience in cloud architecture, partner-facing roles, and strong coding knowledge (Java/C++/Python) are essential for driving enterprise AI adoption and transformation.