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Tier-1 employer and metro location but niche GE4CX/Gemini specialization reduces candidate pool.
Conversational AI and GCP skills are transferable but GE4CX/CCAI contact-center specialization increases domain bias.
Many mandatory technical skills (GE4CX, Dialogflow CX, GCP, Python) and explicit years requirement.
Design, develop, and deploy advanced conversational AI solutions using Google Gemini Enterprise for Customer Experience (GE4CX) platform focused on multi-turn, multimodal workflows.
Integrate Contact Center AI components with enterprise systems like Salesforce and telephony platforms (Genesys, Cisco, Avaya), including building custom fulfillment logic and APIs.
Lead end-to-end delivery of GECX/CCAI projects including architecture design, development, testing, deployment, analytics implementation, and continuous improvement.
4-8 years of work experience in conversational AI and related technologies.
Proven hands-on experience with GE4CX platform including Agent Studio, Dialogflow CX, Agent Assist, and CX Insights.
Proficiency in Python or Node.js for developing custom fulfillment logic and integrations.
Bachelor’s degree (BTech/BE) mandatory.
Experienced in designing scalable conversational AI architectures involving LLM fine-tuning, prompt engineering, and multimodal agent systems.
Strong integration expertise with enterprise CRM and telephony systems within contact center environments.
Skilled in applying CX analytics metrics (CSAT, NPS, AHT), voice biometrics, and sentiment analysis to enhance AI-driven customer engagement.