The Principal AI Search & Conversation Architect will be responsible for designing and leading the architecture of a next-generation conversational AI platform that replaces traditional search with intelligent dialogue. This role owns the systems that understand user intent, determine what information is needed to satisfy a request, retrieve data from multiple real-time providers, reason across competing options, and generate conversational responses that lead users from discovery to transaction.
The successful candidate will architect the AI orchestration layer that coordinates multiple large language models, specialized agents, retrieval systems, recommendation engines, and external APIs into a single seamless conversational experience. Rather than returning lists of search results, the platform will assemble and rank information from ticketing providers, hotels, airlines, restaurants, transportation services, mapping platforms, weather services, and other third-party data sources, presenting recommendations through natural conversation.
This role requires deep experience designing AI-native systems capable of planning multi-step tasks, maintaining conversational context, coordinating tool execution, ranking competing results, and continuously adapting recommendations based on user feedback throughout a conversation.
The Principal Architect will define the technical vision, establish architectural standards, evaluate emerging AI technologies, mentor senior engineers, and make long-term decisions regarding LLM strategy, retrieval architecture, agent design, memory management, semantic search, vector databases, knowledge graphs, and AI evaluation frameworks.
The position requires extensive experience building large-scale distributed systems, production AI platforms, retrieval-augmented generation (RAG), multi-agent orchestration, function calling, Model Context Protocol (MCP), recommendation systems, API orchestration, prompt architecture, conversation state management, personalization, and low-latency cloud infrastructure. Experience with OpenAI, Anthropic, Gemini, open-source language models, LangGraph, LlamaIndex, DSPy, vector databases, graph databases, and modern AI infrastructure is highly desirable.
The Principal AI Search & Conversation Architect will work closely with the company’s other Principal Architects responsible for backend infrastructure, payments, blockchain, messaging, mini-programs, and platform services to ensure the conversational platform integrates seamlessly across the entire ecosystem while maintaining exceptional scalability, reliability, performance, and user experience.
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