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PwC brand, Bangalore location, mid-level role but niche GE4CX/LLM specialization limits applicant density.
Role requires specialized GE4CX/CCAI and GCP integration skills, limiting cross-industry transferability.
Explicit 4–8 years plus mandatory GE4CX, Dialogflow CX, Vertex AI, GCP and integration skills.
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Design, develop, and deploy conversational AI workflows and multi-turn multimodal agents using Google Gemini Enterprise for Customer Experience (GE4CX) platform.
Integrate GE4CX solutions with enterprise CRM (e.g., Salesforce) and telephony systems (Genesys, Cisco, Avaya), including custom fulfillment using Python/Node.js and REST APIs.
Implement and optimize Contact Center AI capabilities such as Agent Assist, CX Insights dashboards, and voice biometrics to improve customer interactions and contact center effectiveness.
4-8 years of relevant experience in conversational AI development and GE4CX platform implementations.
Bachelor's degree (BTech/BE) in an unspecified field.
Proficiency with Google Cloud Platform (GCP) services including Dialogflow CX, Cloud Run, BigQuery, Kubernetes (GKE), API Management, and Vertex AI.
Mandatory skills: GE4CX Agent Studio, Dialogflow CX, Agent Assist, CX Insights, Python/Node.js programming, multi-modal agent system knowledge, and CRM/telephony integration experience.
Experienced in end-to-end delivery of contact center AI solutions leveraging Google Contact Center AI technologies and Google Cloud ecosystem.
Strong technical ability to translate complex CX requirements into scalable conversational architectures and design including LLM fine-tuning and prompt engineering for multi-modal interactions.
Ability to collaborate across CX strategists, IT, DevOps, and security teams to ensure operational excellence and compliance in enterprise environments.