Design and architect enterprise-grade AI applications on Google Cloud, with deep expertise in LLMs, Gemini, and Vertex AI. Lead end-to-end solution design across data pipelines, model lifecycle, cloud infrastructure, and MLOps/LLMOps.… Implement RAG and agentic solutions, enforce security and governance for AI/ML systems, and guide cloud-native development on GKE, Cloud Run, and related Google Cloud services. Requires 6+ years as a software/solutions architect, 5+ years hands-on GCP, 2+ years production Vertex AI/Gemini experience, and a hyperscaler architect certification.
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