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Strong employer brand, mid-level (4-8 yrs) role, and Bangalore metro location increase candidate competition.
Conversational AI skills transfer across industries but contact-center telephony and GE4CX specificity raise domain sensitivity.
Multiple mandatory technical skills (GE4CX, Dialogflow CX, GCP, Python) plus explicit 4–8 years requirement imply high strictness.
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Design, develop, and deploy advanced conversational AI workflows and multi-step interactions on Google Gemini Enterprise for Customer Experience (GE4CX) platform.
Integrate GE4CX solutions with enterprise CRM and telephony systems, develop custom fulfillment using Python/Node.js, and utilize GCP services for scalable CX solutions.
Lead end-to-end delivery of CX AI projects including architecture, development, deployment, and optimization of customer engagement tools and analytics dashboards.
4-8 years of relevant experience in conversational AI and GE4CX solutions development.
Bachelor's degree in engineering (BTech/BE) or equivalent.
Proven hands-on expertise with Google Contact Center AI platform including Dialogflow CX, Agent Assist, CX Insights, and GCP core services (Cloud Run, GKE, BigQuery, API Management).
Proficiency in Python or Node.js for custom fulfillment logic and integrations.
Experienced in building multi-turn, multimodal conversational AI agents with large language model fine-tuning and prompt engineering expertise.
Strong technical skill set integrating AI solutions with CRM (Salesforce) and telephony platforms (Genesys, Cisco, Avaya) in enterprise environments.
Capability to translate complex CX requirements into scalable technical architectures and deliver end-to-end conversational AI projects with cross-functional collaboration.