Job Title:  T&T - Customer - CS&D - Conversational AI | Delhi CEC | Consultant

The team:

CS&D is about much more than just the numbers. It’s about attesting to accomplishments and challenges and helping to assure strong foundations for future aspirations. Deloitte exemplifies the what, how, and why of change so you’re always ready to act ahead. Learn more about Customer

Your work profile:

As a Senior Consultant/Manager   in our CS&D Team you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations.

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.

Key Skills Required:

• 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

Desirable 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

Level of Experience Required:

• 2-15 years

Educational Requirements:

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

Location and way of working:

• Location- Bangalore
• Working from the office at least 3 days a week is mandatory, with a hybrid model tailored to each domain’s specific needs