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# Data Scientist

- **Company:** Capgemini
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $70,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, BigQuery, Cloud Computing, Cloud Engineering, Customer Interaction Management (Software), Python (Programming Language), Software Deployment, Software Engineering, Systems Integration, Google Cloud, Chatbots, Spring Cloud, Retrieval-Augmented Generation, Multi-Agent Systems, Prompt Engineering, Generative AI, Backend, Agentic-AI, Build Management, Information Technology, Google Gemini, Api Gateway, Restful APIs, Natural Language Understanding, Programming Languages, Microservices
- **Published:** October 8, 2026
- **Apply:** https://www.capgemini.com/jobs/571776-en_GB_SAPBTP/x/

## About the Role

Bachelor's degree in Computer Science, Engineering, Inforation Systems, or related field.

5+ years of software engineering experience with strong expertise in Python.

Hands-on experience implementing Google Contact Center AI (CCAI), Dialogflow CX, Cusomer Engagement Suite (CES), and Vertex AI.

Experience designing and delivering enterprise Conversational AI and Generative AI soltions.

Strong experience with REST APIs, microservices, cloud-native architecture, and system integrations.

Experience working directly with enterprise customers and leading technical engagements.

Preferred Qualifications

Experience with Gemini, Vertex AI Agent Builder, RAG architectures, Vector Databases, and Multi-Agent Systems.

Experience modernizing enterprise contact centers and customer service operations.

Gogle Cloud Professional Certifications preferred.

Required Technical Skills

Python (Primary Development Language)

Google Cloud Platform (GCP), 5-10+ years of experience in Software Engineering, AI Engineering, Conversational AI, Contact Center Technologies, or Cloud Solution Delivery with proven success delivering customer-facing AI solutions on Google Cloud., A hands-on engineer who can code in Python, architect Google CCAICES solutions, deploy Gemini-powered conversational experiences, and partner directly with enterprise customers to take AI solutions from concept to production.'

## Description

Design, develop, and deploy conversational AI solutions usin Dialogflow CX, Gemini-powered Conversational Agents, CCAI, and Customer Engagement Suite (CES).

Architect and build AI-powered virtual agents, voice bots, digital assistants, agent asist, and self-service customer experience solutions.

Develop scalable backend services and integrations using Python and Google Cloud srvices.

Implement and optimize Generative AI, Retrieval Augmented Generation (RAG), Vector Sarch, Agentic AI, and Knowledge Grounding capabilities.

Integrate AI solutions with enterprise platforms including CRM, Contact Center, ERP, Kowledge Management, and custom APIs.

Build and deploy cloud-native applications using Vertex AI, Cloud Run, Cloud Functios, Pub/Sub, BigQuery, GKE, and API Gateway.

Lead customer workshops, technical discovery sessions, architecture reviews, and implementation planning.

Troubleshoot and optimize conversational design, NLU performance, prompt engineering, onversation flows, and production deployments.

Collaborate closely with customer engineering teams to establish best practices, accelrate adoption, and deliver measurable business outcomes.