Internship
Deadline in 15 days
Deadline: November 7, 2026
American Express is offering a 2027 Campus Undergraduate Summer Internship Program for students interested in artificial intelligence, machine learning, software engineering, data, and enterprise technology. The AI Engineer Intern position is based in Atlanta, Georgia, with a hybrid work arrangement. The 10-week summer internship will give selected students the opportunity to contribute to real-world technology projects, work with Agile teams, and gain practical experience in how AI-enabled solutions are designed, developed, tested and responsibly deployed within a global enterprise environment.
A quick overview based on the listing. Review the full details below before applying.
No separate application link was provided for this opportunity. Full application instructions are included in the announcement details below — read them carefully and contact the organization directly.
American Express is offering a 2027 Campus Undergraduate Summer Internship Program for students interested in artificial intelligence, machine learning, software engineering, data, and enterprise technology.
The AI Engineer Intern position is based in Atlanta, Georgia, with a hybrid work arrangement. The 10-week summer internship will give selected students the opportunity to contribute to real-world technology projects, work with Agile teams, and gain practical experience in how AI-enabled solutions are designed, developed, tested and responsibly deployed within a global enterprise environment.
The internship is part of American Express’s Enterprise Technology Services organisation, which supports technology engineering, architecture, infrastructure, data platforms, digital products, enterprise AI platforms, technology risk and information security.
The American Express AI Engineer Intern will work within Enterprise Technology Services and contribute at an early-career level while learning how intelligent systems are built, validated, integrated, monitored and governed in an enterprise environment.
Interns will work alongside engineers, product partners, data practitioners, security teams and business stakeholders to understand how enterprise AI solutions are designed and delivered responsibly, reliably and securely.
Enterprise Technology Services teams build and operate technology that enables American Express to provide trusted, secure and customer-focused products and services.
Depending on business needs and project requirements, interns may be aligned with teams working in areas such as:
This provides interns with exposure to different technology disciplines while allowing them to contribute according to their individual strengths and project requirements.
The selected intern will support a variety of technical and collaborative activities.
The intern may assist with the development and integration of AI/ML models, LLM integrations and intelligent services into controlled or production-like systems under appropriate guidance.
These activities help provide the data foundations required for developing and assessing AI systems.
Interns may contribute to testing, debugging and improving AI-enabled solutions.
The intern may support AI capabilities including basic model-training workflows, inference endpoints, prompt-based interactions, evaluation routines, data-retrieval pipelines, AI agents and agentic workflows.
The role involves collaboration with engineering, product, data, risk, security and business teams to develop AI-driven solutions aligned with business requirements.
This documentation supports reproducibility and helps teams understand how AI solutions are developed and evaluated.
The internship is designed to provide practical exposure to enterprise AI development.
They will also gain exposure to machine learning, generative AI, LLM APIs, prompt-based workflows, retrieval patterns, AI agents and model evaluation.
Applicants must meet the stated minimum qualifications for the position.
Currently enrolled in a full-time bachelor’s degree programme.
Expected graduation date between December 2027 and June 2028.
Knowledge of Python and foundational data-processing technologies.
Foundational understanding of computer science concepts, including data structures, algorithms, debugging, testing and problem-solving.
Understanding of machine learning concepts such as model training, evaluation, feature engineering and experimentation.
Experience using modern AI systems, including LLM APIs, prompt-based interactions, retrieval patterns or generative AI applications.
Awareness of responsible AI, security, governance, compliance and reliability considerations.
Strong communication, collaboration, documentation and learning agility.
American Express also lists several preferred qualifications that can strengthen an applicant’s profile.
Experience gained through academic coursework, research, projects, open-source contributions, internships or extracurricular activities using technologies such as Python, R, Java or JavaScript is beneficial.
Familiarity with NLP techniques, embeddings, BERT, transformers, LLMs, prompt engineering, prompt evaluation, APIs, data pipelines, ETL, cloud environments, CI/CD, version control and containerised development is also considered beneficial.
AI Engineer interns may be assigned to different areas depending on business needs, project requirements and individual strengths.
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Relevant knowledge includes secure software development, application security, identity and access management, data protection, encryption concepts, secure API design and vulnerability awareness.
The role may also involve awareness of AI security risks such as prompt injection, data leakage and model abuse, alongside governance controls and responsible handling of sensitive information.
According to American Express, AI Engineer interns gain hands-on engineering experience, manager and mentor support, technical learning opportunities, leadership exposure and access to a strong peer community.
Employment eligibility to work with American Express in the United States is required.
The company states that it will not pursue visa sponsorship for these positions. Applicants should therefore ensure that they meet the applicable U.S. employment eligibility requirements before applying.
The position is associated with Atlanta, Georgia, United States, and is listed as hybrid in the opportunity title and description.
However, the job-information section of the supplied source separately lists AMEX 18850 North 56th Street, Phoenix, Arizona, as a hybrid location. Because these two location details conflict within the supplied source, applicants should verify the location shown on the live American Express application page before submitting an application.
Applicants are encouraged to submit their applications before the deadline rather than waiting until the final hours.
Interested students should apply through the official American Express careers platform.
Review the AI Engineer Intern position and its requirements.
Confirm that they meet the bachelor’s degree and expected graduation requirements.
Review the technical qualifications, particularly Python, computer science, machine learning and AI experience.
Ensure they meet U.S. employment eligibility requirements.
Prepare an application highlighting relevant academic projects, research, internships, extracurricular activities or technical experience.
Submit the application before the stated deadline.
The source’s job-information section also lists a Phoenix, Arizona location and “High School Graduate” as the degree level, which conflicts with the detailed AI Engineer qualifications specifying a full-time bachelor’s degree and Atlanta, Georgia. Applicants should rely on the live application page for the final posting details.
The American Express AI Engineer Summer Internship 2027 offers eligible university students an opportunity to gain practical experience in artificial intelligence, machine learning, data engineering and software development within a global enterprise environment.
The 10-week internship combines technical learning with hands-on project experience, mentorship and collaboration across engineering, product, data, security, risk and business teams.
Students graduating between December 2027 and June 2028 who have experience or foundational knowledge in Python, computer science, machine learning and modern AI systems are encouraged to review the opportunity and apply before the October 1, 2026 deadline.
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