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Tier-1 brand, metro location, and mid-level experience drive high candidate competition despite niche skills.
Specialized Gemini/GE4CX, Dialogflow CX and contact-center telephony integration skills limit cross-industry transferability.
Explicit 4–8 year range plus mandatory GE4CX, Dialogflow, GCP and telephony integration skills impose strict filters.
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Design, build, and deploy advanced conversational AI workflows using Google Gemini Enterprise for Customer Experience (GE4CX) and related CCAI tools to enhance enterprise customer engagement.
Develop custom fulfillment logic, integrate Contact Center AI with enterprise CRM and telephony systems, and implement analytics dashboards for key CX metrics.
Lead end-to-end delivery of GECX/CCAI projects including architecture, development, testing, deployment, and continuous improvement with focus on operational excellence and security compliance.
4 to 8 years of relevant work experience in conversational AI development.
Bachelor's degree in Engineering (BTech/BE) or equivalent.
Proven hands-on experience with GE4CX solutions including Dialogflow CX, Agent Studio, Agent Assist, CX Insights, and Google Cloud Platform services like BigQuery, Cloud Run, GKE, Pub/Sub.
Proficiency in Python/Node.js for custom fulfillment and integrations and experience integrating AI solutions with CRM (Salesforce) and telephony systems (Genesys, Cisco, Avaya).
Experienced developer with a strong focus on Google Contact Center AI platform and multi-turn, multimodal conversational design including LLM fine-tuning and prompt engineering.
Capable of translating complex business CX requirements into scalable, secure technical solutions and collaborating across CX, IT, DevOps, and data teams.
Demonstrates expertise in CX analytics (CSAT, NPS, AHT), voice biometrics, sentiment analysis, and real-time agent assist to optimize contact center efficiency.