Data Scientist

Capgemini; New York (NY); On-site; USD 70,000 - 140,000; Full time

Benefits offered by this job

Paid time off

Medical coverage

Dental coverage

Vision coverage

Retirement plan

Life insurance

Disability insurance

Employee assistance programs

Job summary

Capgemini in New York, NY seeks an experienced Forward Deployed Engineer to lead design, development, and deployment of enterprise Conversational AI solutions on Google Cloud. You will work with Dialogflow CX, Gemini-powered agents, and CES to transform contact centers and customer service for strategic clients.

You will architect AI-powered agents, integrate with CRM/ERP, and lead workshops and architecture reviews to deliver measurable business outcomes.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• 5+ years of software engineering experience with strong Python.
• Hands-on experience implementing Google CCAI, Dialogflow CX, CES, and Vertex AI.

Responsibilities

• Design, develop, and deploy conversational AI solutions using Dialogflow CX, Gemini, CCAI, and CES.
• Architect AI-powered virtual agents, voice bots, digital assistants, and self-service experiences.
• Develop scalable backend services and integrations using Python and Google Cloud services.
• Implement Generative AI, RAG, Vector Search, Agentic AI, and Knowledge Grounding capabilities.
• Integrate AI solutions with CRM, ERP, knowledge management, and custom APIs.
• Build and deploy cloud-native apps using Vertex AI, Cloud Run, Cloud Functions, Pub/Sub, BigQuery, GKE, API Gateway.
• Lead customer workshops, discovery sessions, architecture reviews, planning.
• Troubleshoot conversational design, NLU, prompts, conversation flows, deployments.
• Collaborate with customer teams to drive best practices and measurable outcomes.

Skills

Python

REST APIs

microservices

cloud-native architecture

enterprise engagements

Education

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

Tools

Dialogflow CX

Google Cloud Platform (GCP)

Vertex AI

Google CCAI (Contact Center AI)

Customer Engagement Suite (CES)

Gemini

Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired bya collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Location

New York, NY

Your Role

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 Responsibilities

• 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.

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 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)
• Dialogflow CX

Experience

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.

Ideal Candidate

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.

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.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.