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GenAI Engineer / Data Scientist

Reads like a Data Scientist role: models and experiments.

Pay
$76,730–150,800/year · BaseAnnual period assumed. Not guaranteed — pay source
A hands-on GenAI Engineer/Data Scientist with expertise in Generative AI, Machine Learning, Cloud Platforms, Data Engineering, MLOps, APIs, and AI Agents, capable of building, deploying, and scaling enterprise AI solutions from development through production. The base compensation range for this role in the posted location is $76,730 to $150,800 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.
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Work setting
Not stated
Employment
Not stated

Before you apply

Employer’s visa record
4,980 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.

What you’ll work on

Full posting
  • Implement RAG (Retrieval-Augmented Generation) solutions and multimodal AI applications.

From the employer’s posting
Key Responsibilities AI & Machine Learning Development Develop and implement: Generative AI solutions (GPT, Claude, Stable Diffusion, etc.) Predictive AI models (regression, classification, clustering) NLP and Computer Vision applications Build AI-powered agents and agentic workflows for process automation. Implement RAG (Retrieval-Augmented Generation) solutions and multimodal AI applications. Application Architecture & API Integration Required Skill and Expereince
Education & alternatives
Required Skill and Expereince Bachelor's degree or higher in AI, Machine Learning, Computer Science, or related field. 3-5+ years of experience in AI, Machine Learning, Application Development, or Data Science. Experience deploying and managing production AI systems. Ideal Candidate
Apply at Capgemini Service SAS

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 14, 2026today
Recorded sightings
2
Last seen by us
Nov 15, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Lower than most similar jobs

$76.7K–$151K against $118K–$195K, the middle half of what similar US postings state.

From 3,828 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 8 and day 60.

From 11,873 similar postings that came down. Coming down is not always a hire.

Capgemini Service SAS is hiring

284 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

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About Capgemini Service SAS

People
About 11,267 in 2024.Benefit plan filings (Form 5500)
Company
Listed as CAP.PA.
H-1B visas
771 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,403, the most 2,949, and the latest week had 2,098.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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 by a 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 organizations unlock the value of technology and build a more sustainable, more inclusive world.

Location

Chicago IL, Atlanta GA, New York NY, San Francisco CA

Your Role

The GenAI Engineer / Data Scientist role focuses on designing, developing, deploying, and maintaining Generative AI and Predictive AI solutions that deliver business value. The position combines expertise in AI/ML, application integration, data engineering, cloud platforms, and MLOps while working closely with business and technical teams.


Key Responsibilities


AI & Machine Learning Development
Develop and implement:
Generative AI solutions (GPT, Claude, Stable Diffusion, etc.)
Predictive AI models (regression, classification, clustering)
NLP and Computer Vision applications
Build AI-powered agents and agentic workflows for process automation.
Implement RAG (Retrieval-Augmented Generation) solutions and multimodal AI applications.
Application Architecture & API Integration

 

Required Skill and Expereince

Bachelor's degree or higher in AI, Machine Learning, Computer Science, or related field.
3-5+ years of experience in AI, Machine Learning, Application Development, or Data Science.
Experience deploying and managing production AI systems.

Ideal Candidate

A hands-on GenAI Engineer/Data Scientist with expertise in Generative AI, Machine Learning, Cloud Platforms, Data Engineering, MLOps, APIs, and AI Agents, capable of building, deploying, and scaling enterprise AI solutions from development through production.

The base compensation range for this role in the posted location is $76,730 to $150,800 

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.

Click the following link for more information on your rights as an Applicant in the United States.  http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

 

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.

 

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Pay
A hands-on GenAI Engineer/Data Scientist with expertise in Generative AI, Machine Learning, Cloud Platforms, Data Engineering, MLOps, APIs, and AI Agents, capable of building, deploying, and scaling enterprise AI solutions from development through production. The base compensation range for this role in the posted location is $76,730 to $150,800 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.
Location & working pattern

Atlanta, US

Working pattern and location restrictions need checking in the full posting.

Work authorization

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