Senior Conversational AI, Agentic Search Engineer

Jobtailor; New Jersey; Hybrid; USD 140,000 - 190,000; Full time

Job summary

Jobtailor is seeking an Architect to lead design and development of Conversational AI and Enterprise Search using Google Cloud tools. You will architect end-to-end solutions, build conversational workflows, and optimize search relevance while integrating with enterprise systems.

The role requires 6+ years of relevant experience, experience with CCAI/Dialogflow and Vertex AI Search, and a strong background in Python and API integrations. Hybrid work with in-office days is expected.

Qualifications

• Bachelor’s degree or four+ years of work experience required.
• 6+ years of relevant experience in Conversational AI or related fields.
• Experience architecting with Google CCAI, Dialogflow, or Vertex AI Search.

Responsibilities

• Architect, support, and improve end-to-end CCAI and Enterprise Search lifecycle.
• Design, build, and maintain conversational agents using Google Cloud CCAI, Dialogflow CX/ES, and ADK.
• Integrate Vertex AI and Google Enterprise Search to enable RAG experiences.
• Resolve agent defects and optimize search relevance.
• Build secure, scalable AI frameworks and integrate with enterprise tools.

Skills

Google Cloud CCAI

Dialogflow CX/ES

Vertex AI Search

Python Programming

NLP Integration

Prompt Engineering

REST/SOAP API Integration

LLMs familiarity

Education

Bachelor’s degree in Computer Science or related field

Bachelor’s degree or four+ years of work experience

Tools

Agent Development Kit (ADK)

Vertex AI

Salesforce

Genesys

Webhook Integrations

Pub/Sub Messaging

Job description

• Architect, support, and improve the end-to-end Conversational AI (CCAI) and Enterprise Search design and development lifecycle
• Design, build, and maintain sophisticated conversational agents using Google Cloud Contact Center AI (CCAI), Dialogflow (CX/ES), and the Agent Development Kit (ADK)
• Integrate Vertex AI and Google Enterprise Search/Vertex AI Search to build intelligent, context-aware discovery and retrieval-augmented generation (RAG) experiences
• Solve complex user experience challenges
• Resolve agent defects
• Optimize search relevance
• Answer technical questions
• Conduct rigorous testing and validation
• Build secure, scalable AI frameworks using established software engineering practices
• Integrate AI solutions with downstream enterprise tools and architectures
• Navigate challenges in NLP, AI integration, and search relevance
• Enhance the customer journey through customer-centric conversational AI and search solutions

Requirements

• Bachelor’s degree or four or more years of work experience
• Six or more years of relevant experience, demonstrated through work and/or military experience or specialized training
• Experience architecting and building solutions with Google CCAI, Dialogflow (CX or ES), or Vertex AI Search & Conversation
• Experience with Google Agent Development Kit (ADK)
• Experience building conversational workflows, intents, route groups, and generator prompts
• Bachelor’s degree in Computer Science, Computer Engineering, Artificial Intelligence, or a related technical field is an additional qualification
• Experience programming in Python, Java, or NodeJS for 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
• Experience building Agentic AI using LangGraph, Decagon, Sierra, 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, including telephony adapters, CRM platforms such as Salesforce/Genesys, and live agent hand-off protocols
• Employees must comply with hybrid work policies and work in the office a minimum of three days per week

Core Competencies

Demonstrates expertise in architecting and building Conversational AI solutions using Google Cloud technologies, including Dialogflow and Vertex AI. Proficient in integrating AI solutions with enterprise architectures and optimizing search relevance to enhance user experiences.

Highest-signal resume keywords

• Google Cloud Contact Center AI (CCAI)
• Dialogflow (CX/ES)
• Vertex AI Search
• Python Programming
• NLP Integration

ATS Optimization Keywords

Hard Skills

• Conversational Workflows
• Agent Development Kit (ADK)
• Custom Fulfillment Webhooks
• Microservices Development
• Search Relevance Tuning
• REST/SOAP API Integration
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Large Language Models (LLMs)
• Agentic AI Development

Soft Skills

• Problem Solving
• User Experience Optimization
• Technical Communication

Industry Keywords

• Conversational AI
• Enterprise Search
• Customer Journey Enhancement
• Contact Center Integrations
• Hybrid Work Policies

Tools & Technologies

• Google AI Solutions
• Salesforce
• Genesys
• Webhook Integrations
• Pub/Sub Messaging