AI Architect - Agentic AI and Generative AI Systems

Architect Area(s) of responsibility AI Architect Agentic AI / GenAI Role Overview Hands-on Architect responsible for designing and building scalable Agentic AI systems leveraging Python backends, Generative AI, and multi-agent orchestration frameworks. Key Responsibilities Design Agentic AI architectures (Planner, Supervisor, multi-agent workflows) Build RAG systems with vector DB and semantic search Develop Python backend APIs (FastAPI/Flask) Implement LLM pipelines and prompt engineering strategies Integrate agents with enterprise systems (APIs, DBs, tools) Optimize performance (latency, cost, accuracy) Drive best practices: code reviews, design, observability Mentor team and guide architecture decisions Required Skills Strong Python backend development Experience in Agentic AI / multi-agent systems LLMs, prompt engineering, reasoning frameworks RAG pipelines & vector databases Microservices & API design Azure/AWS/GCP AI services, Docker, Kubernetes Experience 10+ years engineering, 3+ years GenAI experience, proven architecture expertise Experience Level Senior Level .