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Tier-1 employer, metro location and mid-level role increase competition, but niche GE4CX skills limit applicants.
Highly domain-specific conversational AI, telephony and GCP tooling requirements limit cross-industry transferability.
Explicit 4-8 years plus many mandatory GE4CX, Dialogflow, Vertex AI, telephony and Python integration requirements.
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Design, develop, and deploy advanced conversational AI workflows using Google Gemini Enterprise for Customer Experience (GECX) and Contact Center AI (CCAI) platforms.
Integrate AI solutions with enterprise systems like CRM (Salesforce) and telephony (Genesys, Cisco, Avaya) using Python/Node.js for custom fulfillment and APIs.
Lead end-to-end delivery of CX solutions including design, architecture, development, deployment, analytics implementation, and continuous improvement.
4-8 years of professional experience in conversational AI or related software development roles.
Bachelor's degree in any relevant field (B.Tech/BE preferred).
Proven hands-on experience with GECX Agent Studio, Dialogflow CX, Agent Assist, CX Insights, BigQuery, Cloud Run, API Management, and multi-modal AI agent systems.
Proficiency in Python and/or Node.js for building custom integrations and fulfillment logic.
Experienced in building multi-turn, multimodal conversational AI workflows and integrating Google Cloud AI services at enterprise scale.
Familiar with contact center technologies, CX metrics (CSAT, NPS, AHT), and operationalizing AI in customer engagement settings.
Capable of translating complex CX requirements into scalable technical architectures applying LLM fine-tuning, prompt engineering, and multimodal capabilities.