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Capgemini

Data Scientist

Capgemini

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

Posted 10/7/2026full-timeNew York City • New York • United StatesMid-LevelSenior💰 $70,000 - $140,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying Conversational AI solutions using Dialogflow CX and Google Cloud services, with a strong focus on Generative AI and system integrations. Proven ability to lead technical engagements and deliver scalable, customer-facing AI solutions.

Highest-signal resume keywords
Python ProgrammingDialogflow CX ImplementationGenerative AI SolutionsGoogle Cloud ServicesREST API Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Conversational AI DesignGenerative AI ImplementationBackend Service DevelopmentMicroservices ArchitectureNLU OptimizationPrompt EngineeringCloud-Native Application DevelopmentSystem IntegrationVector SearchKnowledge Grounding
Soft Skills
Customer EngagementTechnical LeadershipCollaborationProblem SolvingWorkshop Facilitation
Tools & Technologies
Dialogflow CXGoogle Contact Center AIVertex AICloud RunBigQueryGKEAPI GatewayPub/SubCustomer Engagement SuiteGemini
Certifications & Qualifications
Google Cloud Professional Certifications
Industry Keywords
Conversational AIContact Center TechnologiesAI EngineeringCloud Solution DeliveryEnterprise Software Engineering

Tech Stack

Tools & technologies
BigQueryCloudERPMicroservicesPython

About the role

Key responsibilities & impact
  • 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 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, 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

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Engineering, Information 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, Customer Engagement Suite (CES), and Vertex AI
  • Experience designing and delivering enterprise Conversational AI and Generative AI solutions
  • Strong experience with REST APIs, microservices, cloud-native architecture, and system integrations
  • Experience working directly with enterprise customers and leading technical engagements
  • Experience with Gemini, Vertex AI Agent Builder, RAG architectures, Vector Databases, and Multi-Agent Systems preferred
  • Experience modernizing enterprise contact centers and customer service operations preferred
  • Google Cloud Professional Certifications preferred
  • 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

Benefits

Comp & perks
  • Vacation: 12-25 days, depending on grade
  • Company paid holidays
  • Personal Days
  • Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility
  • Potential variable incentives, bonuses, or commissions, depending on the position and applicable laws