Sr. Conversational AI & Agentic Search Engineer

Verizon Verizon · Telecom · Irving, TX +1

Senior Lead Conversational AI & Search Engineer responsible for enterprise intelligent virtual agents, AI search, and discovery solutions using Google AI technologies. The role involves architecting, building, and maintaining conversational agents and RAG experiences, optimizing search relevance, and ensuring customer engagement.

What you'd actually do

  1. Architecting, supporting, and improving the end-to-end Conversational AI (CCAI) and Enterprise Search design and development lifecycle.
  2. Designing, building, and maintaining sophisticated conversational agents using Google Cloud Contact Center AI (CCAI), Dialogflow (CX/ES), and the Agent Development Kit (ADK).
  3. Integrating Vertex AI and Google Enterprise Search/Vertex AI Search to build intelligent, context-aware retrieval-augmented generation (RAG) experiences.
  4. Solving complex user experience challenges, resolving agent defects, optimizing search relevance, answering technical questions, and conducting rigorous testing and validation.

Skills

Required

  • Bachelor's degree or four or more years of work experience
  • Six or more years of relevant experience
  • Experience architecting and building solutions with Google CCAI, Dialogflow (CX or ES), or Vertex AI Search & Conversation
  • Experience in Google Agent Development Kit (ADK) and building conversational workflows, intents, route groups, and generator prompts

Nice to have

  • Bachelor's Degree in Computer Science, Computer Engineering, Artificial Intelligence, or a related technical field
  • Experience in programming in modern languages (Python, Java, NodeJS) for building custom fulfillment webhooks, microservices, and backend APIs
  • Experience implementing Vertex AI Search / Enterprise Search, grounding models, custom data store connectors, and tuning search relevance and rankings
  • Building Agentic AI using LangGraph or Decagon or Sierra or Google ADK or Google CES
  • Experience integrating Google AI solutions with non-Google enterprise architectures via REST/SOAP APIs, pub/sub messaging, and webhook integrations
  • Familiarity with Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG) architectures, and generative AI guardrails
  • Knowledge of contact center integrations (telephony adapters, CRM platforms like Salesforce/Genesys, and live agent hand-off protocols)

What the JD emphasized

  • six or more years of relevant experience required
  • Experience architecting and building solutions with Google CCAI, Dialogflow (CX or ES), or Vertex AI Search & Conversation.
  • Experience in Google Agent Development Kit (ADK) and building conversational workflows, intents, route groups, and generator prompts.

Other signals

  • building intelligent, context-aware discovery and retrieval-augmented generation (RAG) experiences
  • architecting, supporting, and improving the end-to-end Conversational AI (CCAI) and Enterprise Search design and development lifecycle
  • integrating Vertex AI and Google Enterprise Search