Data Scientist

Capgemini • New York, NY

7d • $76,730 - $150,800

About The Position

The role posting describes an experienced Forward Deployed Engineer who designs, develops, and deploys enterprise-grade Conversational AI and customer experience solutions using Google Cloud Contact Center AI (CCAI), Customer Engagement Suite (CES), Gemini, Vertex AI, and Dialogflow CX. The position combines software engineering, AI solution architecture, and customer-facing delivery to help strategic clients transform contact center and customer service operations through Generative AI.

The engineer builds conversational and cloud-native solutions, integrates them with enterprise platforms, and applies capabilities such as Retrieval Augmented Generation, vector search, agentic AI, and knowledge grounding. The role also involves leading customer workshops and technical engagements, troubleshooting and optimizing production solutions, and collaborating with customer engineering teams to support adoption and measurable outcomes.

Capgemini is a global business and technology transformation partner with 340,000 team members in more than 50 countries. The role is located in New York, NY. The posted base compensation range is $76,730 to $150,800. Regular full-time employees may receive paid time off and holidays, medical, dental, and vision coverage, retirement savings plans, life and disability insurance, employee assistance programs, and other locally available benefits, subject to policy and eligibility.

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
• At least 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.
• The experience section describes 5–10+ years 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.

Nice To Haves

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

Responsibilities

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

Benefits

• Paid time off, including vacation of 12–25 days depending on employee grade, company-paid holidays, personal days, and sick leave, according to policy.
• Medical, dental, and vision coverage, subject to local policy and eligibility.
• Retirement savings plans, such as a 401(k) in the United States.
• Life and disability insurance.
• Employee assistance programs.
• Other benefits provided according to local policy and eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior