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Tier-1 brand, mid-level experience, metro location, and broad skillset requirements increase candidate competition.
Highly specialized contact-center AI, telephony integrations, and GCP/GE4CX expertise limit cross-industry transferability.
Explicit 4-8 years and many mandatory GE4CX, Dialogflow CX, GCP, telephony and integration skills create strict filters.
Design, develop, and deploy conversational AI workflows and multi-turn interactions using Google Gemini Enterprise for Customer Experience (GE4CX) platform.
Integrate and optimize Contact Center AI (CCAI) components—Virtual Agents, Agent Assist, and CX Insights—with enterprise CRM (e.g., Salesforce) and telephony systems (Genesys, Cisco, Avaya).
Lead end-to-end delivery of CX AI projects including solution architecture, development, deployment, and continuous improvement focusing on measurable CX metrics such as CSAT, NPS, AHT, and Intent Accuracy.
4-8 years of relevant hands-on experience with GE4CX, Dialogflow CX, and Contact Center AI solutions.
Bachelor’s degree (BTech/BE or equivalent) in a relevant field.
Proficiency in Python and/or Node.js for fulfillment logic and integrations; experience with GCP services including Vertex AI, Cloud Run, GKE, Pub/Sub, and BigQuery.
Mandatory skills include GECX Agent Studio, Dialogflow CX, Agent Assist, CX Insights, BigQuery/Postgres SQL, Playbooks, Cloud Run, API Management, and multimodal agent systems.
Experienced GE4CX developer with proven skills in large language model fine-tuning, prompt engineering, and generative AI within a contact center environment.
Operates at the intersection of CX strategy and technical development, capable of translating complex business needs into scalable conversational AI solutions.
Comfortable collaborating across CX, IT, operations, and security teams in fast-paced client delivery scenarios with a focus on operational excellence and compliance.