AI - Gen Ai Architect - Google Cloud

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 GCP 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 GCP, Vertex AI, Gemini, GenAI/RAG and agentic AI, plus strong API, data, security, and cloud-native architecture experience

Years of experience required

12+