Quick overview
Job description
Job title: AI - Gen Ai Architect - Google Cloud
Role is hybrid (3 days/wk)
Location: Tempe, AZ 85284
Role Purpose: Own the end-to-end architecture for secure, scalable, production-grade AI, GenAI, and agentic solutions on Google Cloud, with Gemini and Vertex AI as core technology components.
Key Responsibilities
Define solution architecture using Google Cloud, Vertex AI, and Gemini models, integrated with enterprise applications and data.
Architect GenAI patterns including RAG, grounding, tool/function calling, agentic workflows, multi-agent orchestration, and human-in-the-loop processing.
Define integration patterns across fuel, POS, QSR, retail, customer, and enterprise platforms using APIs/event-driven services.
Establish standards for prompt/context management, model selection, AI evaluation, guardrails, security, responsible AI, observability, scalability, and cost optimization.
Architect data and retrieval patterns leveraging appropriate Google Cloud Platform data and AI services.
Work closely with Google Cloud specialists and engineering teams to evaluate and adopt relevant Gemini/Vertex AI capabilities.
Lead architecture/design reviews while driving reusable AI services, accelerators, and patterns across multiple use cases.
Preferred Profile:
Hands-on architecture experience with Google Cloud Platform, Vertex AI, Gemini, GenAI/RAG and agentic AI, plus strong API, data, security, and cloud-native architecture experience
Years of experience required: 12+
Years of Experience: 14.00 Years of Experience
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