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Google AI Architect

InfoVision, Inc.United States🇺🇸United StatesPosted 19 Aug 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Required Qualifications:

  • Experience: 15+ years in IT infrastructure, software engineering, or cloud architecture, with 5+ focused specifically on advanced AI/ML and GenAI solutions.
  • Core Technical Stack: Deep hands-on proficiency with Google Cloud Platform (Vertex AI, Gemini Enterprise, BigQuery, GKE, Cloud Run) and multi-agent orchestration toolkits.
  • Domain Expertise: Super strong network background with deep knowledge of telecommunications network architecture, protocols, and large-scale operations.
  • Engineering Skills: Fluency in Python or similar scripting languages, CI/CD pipelines, and modern API integration design.
  • Proven expertise in Agentic AI architecture and implementation.
  • Deep understanding of LLMs, RAG, prompt engineering, vector databases, and AI orchestration frameworks.

Skills

BigQuery
Google Cloud
Python

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