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 design