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Tier-1 brand, mid-level experience band, and Bangalore location increase candidate competition.
Specialized contact-center conversational AI and Gemini/GCP skills moderately limit cross-industry transferability.
Mandatory GE4CX, Dialogflow, GCP, and 4–8 years experience create strict technical filters.
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Design, develop, and deploy advanced conversational AI solutions on Google Gemini Enterprise for Customer Experience (GECX).
Integrate Contact Center AI components with enterprise systems such as CRM (Salesforce) and telephony (Genesys, Cisco, Avaya).
Develop and optimize multi-turn, multimodal AI-driven workflows, including custom fulfillment logic using Python/Node.js, and implement CX analytics dashboards.
4-8 years of relevant work experience in conversational AI and contact center AI solutions.
Bachelor's degree (B.Tech/BE) required.
Mandatory skills: GECX Agent Studio, Dialogflow CX, Agent Assist, CX Insights, BigQuery/Postgres SQL, Playbooks, Cloud Run, API Management, Multimodal Agent Systems, RAG, Python (basic).
Proficiency with Google Cloud Platform services such as Vertex AI, Cloud Run, Google Kubernetes Engine, Pub/Sub, and Cloud Storage is required.
Experienced in end-to-end delivery of conversational AI projects including architecture, design, development, and deployment on Google Contact Center AI platforms.
Skilled in integrating AI solutions with enterprise CRM and telephony systems, and in applying advanced conversational design including LLM fine-tuning and prompt engineering.
Ability to translate complex business/CX requirements into scalable technical solutions and collaborate with cross-functional teams in fast-paced environments.