Back
PwC brand, mid-level Bangalore role with broad GCP and conversational AI requirements attracts high competition.
Requires specific GE4CX/CCAI and telephony/CRM integration experience, limiting cross-industry transferability.
Explicit 4–8 years plus mandatory GE4CX, Dialogflow CX, GCP, and telephony integration skills enforce strict screening.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and deploy advanced conversational AI workflows using Google Gemini Enterprise for Customer Experience (GE4CX) and Google Contact Center AI platform components.
Integrate conversational AI solutions with enterprise CRM systems (e.g., Salesforce) and telephony platforms (Genesys, Cisco, Avaya) using Python/Node.js for API and webhook development.
Deliver end-to-end CX AI projects including architecture, development, deployment, optimization, and analytics implementation (CSAT, NPS, AHT) using GCP services like Vertex AI, BigQuery, Cloud Run, and Kubernetes.
4 to 8 years of relevant experience in conversational AI and GE4CX implementations.
Bachelor's degree in a relevant field (BTech/BE preferred).
Proficiency with Google Contact Center AI (Dialogflow CX, Agent Assist, CX Insights), GCP core services (BigQuery, Cloud Run, GKE, API Management), and programming in Python or Node.js.
Experience integrating CCAI solutions with enterprise CRM and telephony systems is mandatory.
Strong practical expertise in multi-turn, multimodal conversational AI agent design with large language model fine-tuning and prompt engineering skills.
Proven ability to translate complex CX business requirements into scalable technical architectures and conversational workflows.
Experienced in working within cross-functional teams in fast-paced environments to deliver robust AI-powered customer engagement solutions using Google Cloud technologies.