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PwC brand, mid-level 4–8yr range and Pune metro increase competition despite niche GE4CX specialization.
Conversational AI and LLM skills transfer across sectors, but CCAI and telephony integrations impose moderate domain specificity.
Explicit 4–8 years plus mandatory GE4CX, GCP and integration skills enforce strict technical filter.
Design, develop, and deploy advanced conversational AI workflows and multi-turn interactions on Google Gemini Enterprise for CX (GECX) platform.
Integrate CCAI components with enterprise CRM and telephony systems, building custom fulfillment logic using Python/Node.js and GCP services for scalable CX solutions.
Lead end-to-end delivery of GECX projects including architecture, development, deployment, analytics, and continuous optimization to enhance contact center efficiency and customer experience.
4-8 years of relevant work experience in conversational AI development with GE4CX solutions.
Bachelor’s degree (BTech/BE or equivalent) required.
Mandatory skills: GECX Agent Studio, Dialogflow CX, Agent Assist, CX Insights, BigQuery/Postgres SQL, Playbooks, Cloud Run, API Management, Python for custom integrations.
Proven experience integrating contact center AI with enterprise CRM systems (e.g., Salesforce) and telephony platforms (Genesys, Cisco, Avaya).
Experienced with Google Cloud Platform services like Vertex AI, Cloud Run, GKE, and Pub/Sub for deploying AI-powered customer engagement solutions.
Strong expertise in conversational design for multi-turn, multimodal agents, including LLM fine-tuning and prompt engineering using Gemini’s multimodal capabilities.
Capable of translating complex CX requirements into scalable technical architectures and collaborating cross-functionally in fast-paced client environments.