Capgemini Engineering Internship - AI Proof of Concept

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.

About the Job You're Considering

Launch your career with Capgemini!

 

As an intern at Capgemini, we will give you the opportunity to learn the fundamental technical skills, knowledge, and core consulting behaviors that are essential for a successful career in technology consulting. In this 8-week internship, you will join an exisiting team within Capgemini to work on exciting Proof of Concept projects leveraging AI, with the goal of providing real, impactful solutions to our clients in various industry sectors.

 

This internship is crafted to provide you with hands-on experience and exposure to various aspects of consulting. If you're looking to develop your skills and launch your career - look no further!

 

Location

This is a remote role, with candidates having the ability to operate out of Capgemini facilities in Boston, Chicago, New York, or Atlanta if in close proximity.

Your Role

Quality Assurance and Testing

• Test software and apply quality assurance techniques to ensure that the developed solutions meet client requirements
• Gain practical experience in identifying and addressing software bugs and issues

Software Development

• Participate in coding, programming tasks, and software development activities
• Learn from expert developers and give to coding projects under mentorship

Data Analysis Support

• Assist in data analysis efforts by working with data provided by clients
• Contribute to insights and recommendations generation with the mentorship of the team

.Data-Driven Decision Support

• Learn how data analysis drives decision-making in consulting projects
• Contribute to the preparation of data-driven recommendations

Your Skills and Experience

• Minimum of 3.4 GPA
• Pursuing a degree in computer science, software engineering, or a related field and strong curiosity about technology and aptitude to learn and engage
• Technical Skills: Java/J2EE, .Net, C++, Python, Web Development Technology (JavaScript, HTML, CSS, JQuery, JSON), cloud APIs (AWS, Azure, GCP)
• Knowledge of Machine Learning, Large Language Models and Vision Language Models
• Effective soft skills for team collaboration and learning from expert engineers
• Attention to detail and an eagerness to contribute to quality assurance efforts
• Curiosity about data analysis and its role in decision-making
• Ability to manage workload, meet objectives, and provide updates on progress

 

Suggested Skills

• Software Engineering, Testing, Functional Architecture Design & Project Financials, KPIs & Reporting

 

The base compensation range for this role in the posted location is: $10,000 for an 8 week intership (~ $31.25/hr equivalent)

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.

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 l