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Capgemini

Global consulting, technology services, outsourcing

Data Scientist

AI Application Engineering +1Updated on Nov 14
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • A Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field is required.
  • At least 5 years of software engineering experience with strong expertise in Python is required.
  • Hands-on experience implementing Google Contact Center AI (CCAI), Dialogflow CX, Customer Engagement Suite (CES), and Vertex AI is required.
  • Experience designing and delivering enterprise conversational AI and Generative AI solutions is required.
  • Strong experience with REST APIs, microservices, cloud-native architecture, and system integrations is required.
  • Experience working directly with enterprise customers and leading technical engagements is required.
  • At least 5 years of experience in software engineering, AI engineering, conversational AI, contact center technologies, or cloud solution delivery, with demonstrated success delivering customer-facing AI solutions on Google Cloud, is required.

Responsibilities

  • Design, develop, and deploy conversational AI solutions using Dialogflow CX, Gemini-powered Conversational Agents, CCAI, and Customer Engagement Suite (CES).
  • Architect and build AI-powered virtual agents, voice bots, digital assistants, agent assist, and self-service customer experience solutions.
  • Develop scalable backend services and integrations using Python and Google Cloud services.
  • Implement and optimize Generative AI, Retrieval-Augmented Generation (RAG), vector search, agentic AI, and knowledge grounding capabilities.
  • Integrate AI solutions with enterprise platforms, including CRM, contact center, ERP, knowledge management, and custom APIs.
  • Build and deploy cloud-native applications using Vertex AI, Cloud Run, Cloud Functions, Pub/Sub, BigQuery, GKE, and API Gateway.
  • Lead customer workshops, technical discovery sessions, architecture reviews, and implementation planning.
  • Troubleshoot and optimize conversational design, natural language understanding (NLU) performance, prompt engineering, conversation flows, and production deployments.
  • Collaborate with customer engineering teams to establish best practices, accelerate adoption, and deliver measurable business outcomes.
  • Code in Python, architect Google CCAI/CES solutions, deploy Gemini-powered conversational experiences, and partner directly with enterprise customers to take AI solutions from concept to production.

Desired Qualifications

  • Experience with Gemini, Vertex AI Agent Builder, RAG architectures, vector databases, and multi-agent systems is preferred.
  • Experience modernizing enterprise contact centers and customer service operations is preferred.
  • Google Cloud Professional Certifications are preferred.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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