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Strong employer brand, mid-level experience range, metro location, and broad required skillset increase applicant competition.
Conversational AI skills transfer across industries, but GE4CX and contact-center integrations require domain-specific experience.
Explicit 4-8 years plus mandatory GE4CX/Dialogflow CX, GCP, and integration skills make shortlisting highly strict.
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Design, develop, and deploy advanced conversational AI workflows and multi-turn, multimodal interactions using Google Gemini Enterprise for Customer Experience (GE4CX) models.
Integrate Contact Center AI components (Virtual Agent, Agent Assist, CX Insights) with enterprise CRM and telephony systems, ensuring end-to-end CX solution delivery and operational excellence.
Implement CX analytics dashboards and manage technical architectures including custom Python/Node.js fulfillment, APIs, and GCP services (Vertex AI, Cloud Run, GKE) for scalable contact center AI solutions.
4-8 years of professional experience in conversational AI or related fields.
Bachelor's degree in Engineering (BTech/BE) or equivalent.
Proven hands-on experience with GE4CX platform, Dialogflow CX, Agent Assist, CX Insights, and integration with Salesforce and telephony systems (Genesys, Cisco, Avaya).
Proficiency in Python and/or Node.js; experience with GCP services including Cloud Run, Kubernetes Engine, Pub/Sub, BigQuery, API Management.
Experienced in building multi-turn, multimodal conversational AI agents with deep technical knowledge of Google Contact Center AI platform capabilities and Gemini APIs.
Able to translate complex CX business requirements into scalable, secure architectures with expertise in large language model fine-tuning and prompt engineering.
Operates effectively in fast-paced client environments, collaborating cross-functionally with CX strategists, DevOps, and data engineers to deliver measurable business impact.