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Tier-1 brand and mid-level Pune role increase applicants, but niche GE4CX/Dialogflow skills limit the pool.
Specialized GECX/Dialogflow and contact-center integration expertise creates high domain-specificity and limited cross-industry fit.
Mandatory GE4CX/Dialogflow, GCP, telephony integrations and explicit 4-8 years requirement make shortlisting very strict.
Design, develop, and deploy conversational AI workflows and multi-step interactions using Google Gemini Enterprise (GE4CX) models for customer experience.
Integrate CCAI components with enterprise CRM (e.g., Salesforce), telephony (Genesys, Cisco, Avaya), and other systems using Python/Node.js and GCP services for end-to-end CX solution delivery.
Implement CX analytics dashboards and optimize agent assist capabilities to improve contact center efficiency and customer experience metrics such as CSAT, NPS, and AHT.
4 to 8 years of relevant work experience in conversational AI development and integration.
Bachelor’s degree in Engineering (BTech/BE) required.
Proven experience with GE4CX platform components including Conversational AI, CX Agent Studio, Dialogflow CX, Agent Assist, CX Insights, and BigQuery/Postgres SQL.
Proficiency in Python and/or Node.js for developing custom fulfillment logic and integrations, with strong knowledge of Google Cloud Platform services (Vertex AI, Cloud Run, GKE, Pub/Sub, API Management, Cloud Storage).
Strong hands-on technical expertise in designing and coding multi-turn, multimodal AI-driven conversational agents using Google Cloud AI tools with a focus on large language model fine-tuning and prompt engineering.
Experience working collaboratively with cross-functional teams (CX, IT, operations, DevOps, data engineering) in delivering enterprise-grade CCAI projects from architecture through deployment and hypercare.
Demonstrated ability to translate complex CX business requirements into scalable technical architectures and conversational designs while maintaining compliance and security in customer data handling.