• Architect and design end-to-end Generative AI solutions leveraging Large Language Models and modern AI frameworks. • Design Retrieval-Augmented Generation (RAG) architectures integrating enterprise knowledge bases, documents, and structured data. • Build and guide development of LLM applications, intelligent assistants, and AI copilots using LangChain, LangGraph, or similar orchestration frameworks. • Define architectures for vector search, embeddings, and semantic retrieval pipelines that support scalable knowledge discovery. • Work closely with engineering teams to translate architectural designs into production-ready AI systems. • Develop AI reference architectures, design patterns, and best practices for enterprise adoption of Generative AI. • Partner with business stakeholders to identify opportunities where AI can unlock value from large knowledge and data ecosystems. • Design secure and scalable cloud-native AI platforms within the Google Cloud Platform ecosystem. • Ensure responsible AI practices through model evaluation frameworks, guardrails, monitoring, and governance mechanisms. • Mentor engineers and provide technical leadership across ML and AI initiatives.