CLAUDE ARCHITECT 10–12 Years | Hybrid – New York, NY & Offshore - Pune & Bangalore Role Focus Lead the architecture, design and enterprise implementation of enterprise AI applications powered by Anthropic Claude. Drive scalable LLM, RAG and agentic AI platforms with governance, observability and production-ready architecture. Anthropic's Claude Certified Architect – Foundations CCAR - F CERTIFICATION MANDATE ! Requirements Key Responsibilities • Architect enterprise AI solutions using Anthropic Claude & Claude APIs. • Design LLM, RAG and multi-agent workflows with LangChain & LangGraph. • Define enterprise AI architecture, vector search and semantic retrieval strategies. • Lead prompt engineering, context engineering and Claude model optimization. • Build scalable Python microservices, REST APIs and AI orchestration layers. • Implement AI governance, observability, security and Responsible AI practices. • Mentor engineering teams and drive architecture reviews & technical leadership. Required Qualifications • 10–12 years of Software Engineering / Solution Architecture experience. • Mandatory: Claude Certified Architect – Foundations (CCAR-F). • Strong expertise in Anthropic Claude, Claude APIs and Enterprise AI. • Hands-on experience with LLM, RAG, LangChain, LangGraph & AI Agents. • Experience with Python, FastAPI, Microservices, Vector Databases & Cloud. Technology Stack AI / GenAI Anthropic Claude, Claude APIs, LLM, RAG, Prompt Engineering, AI Agents Frameworks LangChain, LangGraph, Semantic Search, Embeddings, MCP Backend Python, FastAPI, REST APIs, Microservices Data Pinecone, Weaviate, ChromaDB, Milvus, FAISS, PostgreSQL Cloud / DevOps Microsoft Azure, AWS, Docker, Kubernetes, Git, CI/CD Anthropic's Claude Certified Architect – Foundations CCAR - F CERTIFICATION MANDATE ! Benefits Key Responsibilities • Architect enterprise AI solutions using Anthropic Claude & Claude APIs. • Design LLM, RAG and multi-agent workflows with LangChain & LangGraph. • Define enterprise AI architecture, vector search and semantic retrieval strategies. • Lead prompt engineering, context engineering and Claude model optimization. • Build scalable Python microservices, REST APIs and AI orchestration layers. • Implement AI governance, observability, security and Responsible AI practices. • Mentor engineering teams and drive architecture reviews & technical leadership.