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PwC brand, metro location and mid-level experience increase candidate competition despite niche conversational AI specialization.
Requires Google GE4CX/CCAI, telephony and GCP expertise, limiting cross-industry transferability.
Multiple mandatory platform-specific skills and explicit 4–8 years requirement increase screening rigidity.
Design, build, and deploy conversational AI workflows and multi-turn, multimodal interactions using Google Gemini Enterprise for Customer Experience (GE4CX).
Integrate Contact Center AI (CCAI) components with enterprise CRM (Salesforce) and telephony systems (Genesys, Cisco, Avaya) using Python/Node.js and GCP services like Vertex AI, Cloud Run, and BigQuery.
Lead end-to-end delivery of CX solutions including architecture, development, testing, deployment, and continuous optimization focusing on AI-powered customer engagement and analytics.
4-8 years of relevant experience in conversational AI development with GE4CX and GCP technologies.
Bachelor's degree (BTech/BE or equivalent).
Hands-on proficiency in Google Contact Center AI platform components: Dialogflow CX, Agent Studio, Agent Assist, CX Insights.
Mandatory skills: GECX Agent Studio, Dialogflow CX, Agent Assist, CX Insights, Playbooks, BigQuery/Postgres SQL, Cloud Run, API Management, Python (basic).
Experienced in designing scalable, multimodal conversational AI workflows with expertise in LLM fine-tuning, prompt engineering, and generative AI.
Skilled in integrating complex AI solutions with enterprise CRM and telephony systems within Google Cloud ecosystem.
Capable of translating complex CX and business needs into technical architectures and AI solutions, collaborating across CX, DevOps, data, and security teams.