Sr. Conversational AI & Agentic Search Engineer
$120,500–$231,000 year
HybridIrving, Texas, United States or Basking Ridge, New Jersey, United States
EXPIREDIrving, Texas, United States or Basking Ridge, New Jersey, United StatesHybridFull Time$120,500–$231,000 yearSenior LevelBachelors DegreeEnterprise
Full TimeSenior LevelBachelors DegreeEnterprise
Job Summary
Architect and maintain end-to-end Conversational AI and Enterprise Search design lifecycles using Google Cloud Contact Center AI, Dialogflow, and Vertex AI Search. Design sophisticated conversational agents and retrieval-augmented generation experiences, integrating them with non-Google enterprise architectures via REST/SOAP APIs and webhooks. Solve complex user experience challenges, optimize search relevance, and conduct rigorous testing and validation for intelligent discovery solutions. This hybrid role requires three days per week in the office.
Required Qualifications
- Bachelor's degree or four or more years of work experience
- 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
Desired Qualifications
- 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)
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