Google AI Architect

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.