Gen AI Architect

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 accuracy, hallucination detection, drift, and cost optimization.Collaborate with business stakeholders to identify high-impact AI use cases and define transformation roadmaps.Standardize GenAI architecture practices, reusable components, and governance policies.Mentor engineering teams on GenAI, LLMOps, and AI-first solution designEA Number : 11C4879