Conversational AI Architect - Google Cloud Gemini CX

Responsibilities

• Design and deploy enterprise-grade agentic AI and conversational AI solutions using Gemini CX, Vertex AI Agent Studio, Dialogflow CX and supporting Google Cloud AI services
• Orchestrate hybrid conversational workflows by combining generative playbooks and autonomous agent behaviors with deterministic Dialogflow CX state-machine controls
• Build and optimize RAG pipelines using Vertex AI Search to securely ground agents in enterprise documents, knowledge repositories and business data
• Develop secure backend integrations, connectors and webhooks using Cloud Run, Cloud Functions and Model Context Protocol (MCP) to integrate CRM, ERP and internal enterprise systems
• Implement security and compliance guardrails using Model Armor, VPC Service Controls, IAM least-privilege policies and appropriate data isolation controls
• Build conversation telemetry and analytics pipelines using BigQuery and CCAI Insights for error-taxonomy analysis, intent health, containment reporting and operational improvement
• Provide hands-on engineering leadership, write production-grade code, troubleshoot complex platform issues and guide solutions through production deployment and scale

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