Job Title:  Consultant | Conversational AI | Delhi CEC | Customer Strategy & Design

Overview

We are looking for a hands-on GCP CCaaS Engineer with strong experience in GCP data engineering, Dialogflow CX, CX Agent Studio, and Agent Assist. The role combines data pipelines + conversational AI + GenAI to build next‑generation contact center solutions.

Key Responsibilities

Data Engineering (GCP)

·      Build ELT/ETL pipelines using BigQuery, Dataform, Cloud Composer/Airflow, GCS.

·      Develop data models and implement CDC/SCD, SQL procedures, and complex transformations.

·      Optimize BigQuery with partitioning, clustering, tuning.

·      Apply BigQuery CLS/RLS, IAM roles, and security best practices.

·      Build Looker views, explores, dashboards.

CCAI & Conversational AI

·      Develop conversational flows using Dialogflow CX and CX Agent Studio.

·      Implement Agent Assist – Insights & Summarization (Must‑Have).

·      Build Python webhooks on Cloud Functions/Run.

·      Integrate with enterprise APIs (REST/JSON).

·      Perform prompt engineering to guide LLM behavior.

Platform & Networking

·      Strong knowledge of GCP networking: VPCs, NAT, PSC, DNS.

·      Implement monitoring, CI/CD, and deployment best practices.

Must‑Have Skills

·      GCP: BigQuery, Dataform, Cloud Composer, Looker

·      Python, SQL (window functions, table functions, SPs)

·      CDC/SCD, ELT/ETL pipeline design

·      Dialogflow CX, CX Agent Studio

·      Agent Assist – Insights & Summarization

·      API integration (REST/JSON)

·      Prompt engineering

·      GCP Networking fundamentals

Good-to-Have Skills

·      SAP data modeling (SD, MM, FI, O2C, P2P); GenAI, RAG, embeddings, agentic workflows; Telephony integration (Genesys/Avaya/Twilio); Databricks on GCP, data lineage/governance; multi-language agent design; Gemini Enterprise experience

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Overall Experience: 2-15 years