AI Solution Architect (Gemini Enterprise Connections)
Role Focus: Schema Design
- Auth Flows
- Security Compliance
- AI Enablement
Role Summary
The AI Solution Architect will lead the upfront technical design for Gemini Enterprise Connector integrations including authentication flows, data schemas, security architecture, and AI enablement strategy. This role is front-loaded during onboarding and foundation phases and provides ongoing architectural governance.
Key Responsibilities
Design enterprise connector architecture for Gemini integrations
Define data schemas and canonical models across enterprise systems
Design secure authentication flows (OAuth2, SSO, Service Accounts, Token Exchange)
Ensure compliance with enterprise security and privacy standards
Define AI integration patterns (LLM orchestration, RAG pipelines, embedding strategy)
Establish API governance, rate limiting, and error handling patterns
Support connector onboarding and schema versioning strategy
Provide architecture reviews and technical leadership
Required Skills & Experience
8+ years of system architecture experience
Strong expertise in REST APIs, microservices, schema design (JSON Schema, OpenAPI)
Experience with enterprise auth protocols (OAuth2, SAML, JWT)
Hands-on GenAI integration experience (Gemini, Vertex AI, OpenAI, or equivalent)
Experience Designing Secure Cloud Architectures (GCP Preferred)
Knowledge of data privacy, compliance, and enterprise integration patterns
