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PwC brand, mid-level 4–8 years, and Bangalore metro increase candidate competition despite niche skills.
Conversational AI, CCAI platform and telephony integration expertise is highly domain-specific and less transferable.
Many mandatory platform-specific skills (GE4CX, Dialogflow, GCP, telephony integrations) create highly selective shortlisting.
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Design, build, and deploy advanced conversational AI workflows on Google Gemini Enterprise for Customer Experience (GE4CX) platform.
Integrate Contact Center AI components with enterprise CRM (e.g., Salesforce) and telephony systems, and develop custom fulfillment logic using Python/Node.js.
Implement CX analytics dashboards and contribute to end-to-end delivery of CCAI projects including architecture, development, and continuous improvement.
4-8 years of experience in conversational AI development, specifically with GE4CX and Google Contact Center AI technologies.
Bachelor's degree in Engineering (BTech/BE) or equivalent in related technical field.
Strong technical skills in Dialogflow CX, Agent Assist, CX Insights, BigQuery/Postgres SQL, Cloud Run, API Management, Python/Node.js programming.
Experience integrating CCAI solutions with enterprise CRM (Salesforce) and telephony systems (Genesys, Cisco, Avaya).
Demonstrated expertise in multi-turn, multimodal AI conversational design including LLM fine-tuning and prompt engineering with Gemini multimodal capabilities.
Ability to translate complex CX requirements into scalable technical architectures and collaborate effectively with CX, IT, and operations teams.
Experienced in deploying scalable conversational AI solutions on Google Cloud Platform using services like Vertex AI, GKE, Pub/Sub, and ensuring security and compliance in contact center AI environments.