Design multi-agent architectures (planning, tool use, memory, orchestration) for real business use cases Architect and deploy agentic workflows natively on AWS (Bedrock, Lambda, Step Functions, Sage Maker, ECS/EKS)Write production-quality code (Python) while architecting — this is a hands-on, build-as-you-design role Define agent-to-agent communication, tool/function-calling patterns, and orchestration frameworks (Lang Graph, CrewAI, Bedrock Agents, or custom)Build RAG pipelines and integrate vector stores (Open Search, Pinecone, etc.) into agent workflows Establish guardrails, evaluation frameworks, and observability for agentic systems in production Optimize for latency, cost, and reliability across distributed agent workflows on AWSCollaborate closely with Python engineers, guiding them on implementation while co-building core agent components Prototype rapidly, iterate based on evals, and take solutions from POC to scaled deployment Stay current with the agentic AI ecosystem and bring emerging patterns into the architecture Must Require Skills in KEYWORDS: Agentic AI, AWS, Python

Education: Bachelors Degree

📌 AI Architect (India)
🏢 Compunnel
📍 India