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Tier-1 brand, mid-level experience, metro location, and broad required stack create high applicant competition.
Role requires niche GECX/CCAI and telephony integration skills, so background fit sensitivity is high.
Explicit 4–8 years and many mandatory GECX/GCP/LLM integration skills make shortlisting highly strict.
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Design, develop, and deploy advanced conversational AI workflows and multi-turn interactions using Google Gemini Enterprise for Customer Experience (GE4CX) models.
Integrate and customize Contact Center AI (CCAI) components with enterprise CRM and telephony systems, ensuring seamless end-to-end customer experience solutions.
Implement CX analytics dashboards and leverage GCP services for scalable and secure AI-powered customer engagement solutions, including ongoing solution maintenance and optimization.
4-8 years of experience in conversational AI development with hands-on expertise in GE4CX, Dialogflow CX, and Contact Center AI (CCAI) platforms.
Bachelor’s degree (BTech/BE or equivalent) in a relevant field.
Technical proficiency in Python or Node.js for custom fulfillment logic and integrations with REST APIs and middleware.
Strong experience with Google Cloud Platform services including Vertex AI, BigQuery, Cloud Run, Kubernetes (GKE), Pub/Sub, API Management, and Cloud Storage.
Demonstrated ability to translate complex business and customer experience requirements into scalable conversational AI architectures on Google Cloud.
Experience integrating multi-modal conversational AI solutions with enterprise CRM (Salesforce) and telephony systems (Genesys, Cisco, Avaya).
Skilled in advanced conversational design including multi-turn interactions, LLM fine-tuning, prompt engineering, and AI-enhanced agent assist features within contact center environments.