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AI Engineer -Data Scientist

Pay
$76,730–150,800/year · BaseAnnual period assumed. Not guaranteed — pay source
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). 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
Hybrid — work setting source
Location This is a hybrid role based in Houston TX, Dallas TX, Atlanta GA, Nashville TN. About the Job You're Considering
Read the full posting
Employment
Not stated

What you’ll work on

Full posting
  • Develop Generative AI and Predictive AI models for enterprise use cases

  • Implement RAG and LLM-powered applications

  • Develop AI agents and agentic workflows for process automation

  • Deploy, monitor, and optimize AI models in production using MLOps practices

  • Design and maintain scalable data pipelines, data lakes, and data warehouses

From the employer’s posting
Develop and implement Generative AI and Predictive AI models for enterprise use cases.
Implement Retrieval-Augmented Generation (RAG) and LLM-powered applications.
Develop AI agents, agentic workflows, and autonomous systems for process automation and decision-making.
Deploy, monitor, and optimize AI models in production environments using MLOps best practices.
Design and maintain scalable data pipelines, data lakes, and data warehouse solutions.
Apply at Capgemini Service SAS

Posting record

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Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 20263 days ago
Recorded sightings
2
Last seen by us
Nov 8, 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

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,319 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 3

Early. Similar jobs usually come down between day 7 and day 72.

From 4,630 similar postings that came down. Coming down is not always a hire.

Capgemini Service SAS is hiring

299 open jobs

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

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Azure
  • GCP
  • TensorFlow
Where the posting names them
• At least 5+ years of experience in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics. • Strong programming experience with Python and SQL. • Experience developing and integrating REST APIs, JSON, HTTP Protocols, and authentication/token-based security.
• Experience designing and deploying AI agents and agentic workflows. • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). The base compensation range for this role in the posted location is $76,730 to $150,800
• Strong experience with LangChain and LLM orchestration frameworks. • Experience developing machine learning solutions using TensorFlow and related AI/ML technologies. • Knowledge of NLP, prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG).

Your next step

Complete your application on careers.capgemini.com. The employer’s form will show what is required.

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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 ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 619, the most 1,091, and the latest week had 863.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 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 ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

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

This is a hybrid role based in Houston TX, Dallas TX, Atlanta GA, Nashville TN.

About the Job You're Considering

Capgemini is seeking a GenAI Engineer / Data Scientist to design, build, and deploy Generative AI and Predictive AI solutions that drive business value across enterprise environments. This role partners with business stakeholders, data engineers, architects, and application teams to develop AI-powered applications, agentic workflows, and intelligent automation solutions while leveraging modern cloud, MLOps, and data engineering practices.

Your Role

• Develop and implement Generative AI and Predictive AI models for enterprise use cases.

• Build AI solutions involving NLP, computer vision, classification, regression, and clustering techniques.

• Design and integrate AI applications using APIs, REST services, authentication frameworks, and cloud-native platforms.

• Develop AI agents, agentic workflows, and autonomous systems for process automation and decision-making.

• Implement Retrieval-Augmented Generation (RAG) and LLM-powered applications.

• Deploy, monitor, and optimize AI models in production environments using MLOps best practices.

• Design and maintain scalable data pipelines, data lakes, and data warehouse solutions.

Your Skills and Experience

• At least 5+ years of experience in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics.

• Strong programming experience with Python and SQL.

• Experience developing and integrating REST APIs, JSON, HTTP Protocols, and authentication/token-based security.

• Strong understanding of API integration, documentation, and enterprise application connectivity.

• Hands-on experience with Generative AI, Large Language Models (LLMs), and modern AI frameworks.

• Experience working with GPT, Claude, Stable Diffusion, and similar foundation models.

• Strong experience with LangChain and LLM orchestration frameworks.

• Experience developing machine learning solutions using TensorFlow and related AI/ML technologies.

• Knowledge of NLP, prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG).

• Experience designing and deploying AI agents and agentic workflows.

• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).

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
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). 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

Houston, TX, US

Location This is a hybrid role based in Houston TX, Dallas TX, Atlanta GA, Nashville TN. About the Job You're Considering
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