Roles & Responsibilities:
· Define and own end-to-end GenAI architecture, including LLM orchestration, agent frameworks, and enterprise integrations.
· Design scalable, modular solutions using LLMs, embeddings, vector databases, and retrieval mechanisms.
· Architect agent-based and multi-agent systems for autonomous reasoning, planning, and workflow execution.
· Establish GenAI design patterns such as RAG, conversational AI, document intelligence, and context-aware systems.
· Lead integration of GenAI solutions with enterprise systems using APIs, microservices, and event-driven architectures.
· Define prompt engineering strategies, prompt lifecycle management, and context orchestration frameworks.
· Implement Responsible AI practices including governance, explainability, security, and compliance.
· Design human-in-the-loop architectures with feedback loops, validation checkpoints, and fallback mechanisms.
· Establish monitoring and observability for model acc...