AI/ML Engineer

Capgemini; Atlanta (GA); Hybrid; USD 103,000 - 129,000; Full time

Benefits offered by this job

Flexible work

Healthcare including dental, vision, &

401(k) & Employee Stock Ownership Plan

Paid time off & paid holidays

Paid parental leave

Family building benefits

Mentoring, coaching & learning

Employee Resource Groups

Job summary

Capgemini in Atlanta/ NYC seeks an experienced AIML Engineer to design, build, and deploy AI/ML models, focusing on LLMs, agentic AI workflows, and real-time data pipelines. You will work in a fast-paced, collaborative environment delivering scalable APIs and ML services.

The ideal candidate has strong Python skills, experience with FastAPI, Kafka, and REST APIs, and thrives in Agile teams while driving innovations in AI across business domains.

Qualifications

• Proficient in Python with hands-on ML/AI model deployment.
• Experience integrating large language models (LLMs) into applications.
• Strong experience building APIs for ML/AI services.
• Knowledge of Kafka and real-time data pipelines is required.
• Experience with REST API design and integration for ML models.

Responsibilities

• Build, integrate, and deploy AI/ML models, especially LLM-based workflows.
• Develop distributed data pipelines and microservices-based APIs.
• Collaborate in Agile teams with cross-functional groups.
• Enable real-time AI capabilities and agentic AI implementations.

Skills

Python

Integration LLM

FAST API

Kafka Integration

Rest API Integration for ML Models

GitHub and CoPilot

Agentic AI Implementation

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.

Job Location: Atlanta, GA / NYC, NY

Responsibilities

• We are seeking a highly skilled AIML Engineer with strong hands‑on experience in Python, modern AI/LLM integration, API development, and distributed data technologies.
• This role will focus on building, integrating, and deploying AI/ML models-particularly those involving Large Language Models (LLMs), agentic AI workflows, and real‑time data pipelines.
• The ideal candidate will have a strong engineering background with a deep understanding of ML systems design, inferencing pipelines, and microservices‑based APIs.
• Experience working in Agile environments and collaborating with cross‑functional teams is essential.

Required Skills

• Python
• Experience in Integration LLM
• FAST API
• Kafka Integration
• Rest API Integration for ML Models
• GitHub and CoPilot
• Agentic AI Implementation

Good‑to‑Have Skills

• Java/Angular
• Spring Boot
• CI/CD
• Containerization (Docket, Kubernetes)
• Cloud ML platforms
• Finance domain Experience

Life at Capgemini

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups nd 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 accommodations do not pose an undue hardship.
• Capgemini is committed to providing reasonable accommodations
• Disaster Relief

Disaster Relief

The base compensation range for this role in the posted location is: 103330 to 128656

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.

Benefits

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.