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Tier-1 brand, metro location, and mid-level generalist requirements increase applicant competition.
Role requires niche CCAI/GE4CX and contact-center integration expertise, so background fit sensitivity is high.
Explicit 4-8 years requirement plus mandatory GE4CX, Dialogflow, GCP and integration skills imply high strictness.
Design, develop, and deploy advanced conversational AI workflows and multi-turn, multimodal interactions on Google Gemini Enterprise for Customer Experience (GECX) platform.
Integrate Google Contact Center AI components with enterprise CRM (e.g., Salesforce), telephony systems (Genesys, Cisco, Avaya), and other systems via custom APIs and fulfillment logic.
Deliver end-to-end GECX/CCAI solutions including architecture, development, testing, deployment, analytics (CSAT, NPS, AHT), and continuous improvement to optimize customer engagement.
4-8 years of experience in conversational AI development with hands-on expertise in GE4CX (Gemini Enterprise for Customer Experience) and Contact Center AI platforms.
Bachelor's degree in Engineering (B.Tech/BE) or equivalent.
Proficiency in Python and/or Node.js for custom fulfillment and integrations, with solid knowledge of GCP services: Vertex AI, Cloud Run, GKE, Pub/Sub, BigQuery, API Management, and Cloud Storage.
Mandatory skills: GECX Agent Studio, Dialogflow CX, Agent Assist, CX Insights, BigQuery/Postgres SQL, Playbooks, Multi-modal Agent Systems, and basic Python. Notice period: Not explicitly mentioned in the JD.
Experienced developer with strong applied knowledge of Google Cloud contact center AI technologies and building scalable enterprise conversational AI solutions.
Demonstrates capability in complex conversational design including multi-turn dialogues, LLM fine-tuning, prompt engineering, and multimodal agent development.
Able to translate complex CX business requirements into technical architectures and integrations, working cross-functionally with CX, IT, DevOps, and data engineering teams in agile client environments.