- 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
Your Role
- 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.
📌 Agentic AI Developer With GCP (West Bengal)
🏢 Capgemini
📍 West Bengal
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