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Tier-1 brand, mid-level (4–8yrs) Bangalore role increases candidate density despite niche skills.
Highly specialized conversational AI, Gemini, and CCAI expertise limits cross-industry transferability.
Explicit 4–8 years requirement plus mandatory GE4CX/GCP/LLM and integration skills enforce strict shortlisting.
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Design, develop, and deploy advanced conversational AI workflows and multi-step interactions using Google Gemini Enterprise for Customer Experience (GE4CX) platform.
Integrate and optimize Contact Center AI components with enterprise CRM (Salesforce) and telephony systems (Genesys, Cisco, Avaya), including custom fulfillment using Python/Node.js and API management.
Lead end-to-end GECX/CCAI project delivery including requirements, architecture, deployment, analytics (CSAT, NPS, AHT), and continuous improvement using Google Cloud Platform services.
4 to 8 years of relevant work experience in conversational AI and GE4CX development.
Bachelor's degree (BTech/BE) required.
Hands-on expertise with Google Contact Center AI platform, GE4CX Agent Studio, Dialogflow CX, Agent Assist, CX Insights, and BigQuery/Postgres SQL.
Proficiency in Python and/or Node.js for custom fulfillment and integration; experience with GCP services such as Cloud Run, GKE, Pub/Sub, API Management, and Cloud Storage.
Experienced in building multi-turn, multimodal, AI-driven conversational agents including LLM fine-tuning and prompt engineering within Google Cloud AI ecosystem.
Strong integration skills connecting conversational AI platforms with enterprise CRM and telephony infrastructure in complex environments.
Comfortable handling full project lifecycle from technical architecture to analytics and operational optimization in client-facing technology advisory settings.