AI - Gen Ai Architect - Google Cloud

TekWissen • Tempe, AZ

18h • Hybrid

About The Position

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. The role involves defining architecture and integration patterns, establishing standards for responsible and secure AI, and guiding teams in adopting relevant Google Cloud capabilities. The architect will lead design reviews and promote reusable AI services, accelerators, and patterns across multiple use cases.

This is a six-month temporary assignment based in Tempe, Arizona, with a hybrid work arrangement.

Requirements

• Hands-on architecture experience with Google Cloud Platform (GCP).
• Experience with Vertex AI.
• Experience with Gemini.
• Experience with GenAI and RAG.
• Experience with agentic AI.
• Strong API, data, security, and cloud-native architecture experience.
• 14 years of experience.

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 and event-driven services.
• Establish standards for prompt and context management, model selection, AI evaluation, guardrails, security, responsible AI, observability, scalability, and cost optimization.
• Architect data and retrieval patterns leveraging appropriate Google Cloud data and AI services.
• Work with Google Cloud specialists and engineering teams to evaluate and adopt relevant Gemini and Vertex AI capabilities.
• Lead architecture and design reviews while driving reusable AI services, accelerators, and patterns across multiple use cases.

What This Job Offers

• Career Level: Senior
• Education Level: No Education Listed