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About the role
Experience 10+ years of IT experience 4+ years in Cloud Solution Architecture 3+ years in AI/ML and Generative AI solutions Hands-on experience with GCP AI services Key Responsibilities Design end-to-end AI/GenAI solutions on GCP. Define enterprise architecture, security, governance, and scalability standards. Architect Agentic AI solutions leveraging LLMs, RAG, vector databases, and orchestration frameworks. Conduct technical workshops and solution discovery sessions. Collaborate with business stakeholders to translate requirements into scalable AI solutions. Provide architectural guidance to development and DevOps teams. Ensure compliance with security, responsible AI, and data governance standards. Lead PoCs, MVPs, and production implementations. Technical Skills Mandatory Google Cloud Platform (GCP) Vertex AI Gemini Models BigQuery Cloud Run GKE (Google Kubernetes Engine) Cloud Functions Pub/Sub API Gateway IAM & Security Controls RAG Architecture Vector Databases (Pinecone, Weaviate, Vertex AI Vector Search) LangChain / LangGraph Multi-Agent Architecture Design Preferred Knowledge Graphs MLOps Terraform CI/CD Data Engineering concepts Certifications (Preferred) Google Professional Cloud Architect Google Professional Machine Learning Engineer .
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