Data Scientist

About Capgemini Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion. Make it real | www.capgemini.com

• We are seeking an experienced Forward Deployed Engineer (FDE) to lead the design, development, and deployment of enterprise-grade Conversational AI and Customer Experience solutions leveraging Google Cloud Contact Center AI (CCAI), Customer Engagement Suite (CES), Gemini, Vertex AI, and Dialogflow CX. This role combines software engineering, AI solution architecture, and customer-facing delivery to help strategic clients transform contact center and customer service operations through Generative AI.Key ResponsibilitiesDesign, 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.Required Skills and Experience
• 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 QualificationsExperience 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 SkillsPython (Primary Development Language)Google Cloud Platform (GCP)Dialogflow CXExperience5-10+ 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.Ideal CandidateA 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."The base compensation range for this role in the posted location is $70,000 to $140,000
• Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
• The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
• These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
• It is not typical for candidates to be hired at or near the top of the posted compensation range.
• In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
• Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include
• Paid time off based on employee grade (A-F), defined by policy: 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
• Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

• Paid time off
• Company paid holidays
• Personal days
• Sick leave
• Medical coverage
• Dental coverage
• Vision coverage
• Retirement savings plans
• 401(k)
• RRSP
• Life insurance
• Disability insurance
• Employee assistance programs