Design, develop, and deploy LLM-powered intelligent applications that enhance productivity and engagement for Walmart associates across the globe. Build and integrate enterprise-grade conversational agents and AI copilots into chatbots, internal portals, and business applications to automate tasks, improve communication, and provide real-time, contextualized support. Leverage state-of-the-art LLMs and frameworks like LangChain, LangGraph to create dynamic, natural language interfaces over enterprise data. Implement retrieval-augmented generation (RAG) pipelines using vector databases such as Milvus or FAISS to enable deep integration with Walmart's knowledge ecosystem. Enhance the clarity, conciseness, and readability of generated knowledge Q&A to ensure it is well-suited for voice-based service agents. Build developer-friendly tools and reusable frameworks that abstract key aspects of ML and LLM system complexity-enabling developers without prior ML experience to quickly build high-quality, scalable AI solutions with minimal friction, while maintaining reliability, governance, and performance standards. Act as a platform enabler and technical collaborator, working closely with Data Scientists, Software Engineers, Product Managers, and MLOps/DevOps teams to streamline model deployment, monitoring, and lifecycle management.