Campus Undergraduate Summer Internship Program

About the Role

The Enterprise Technology Services organization at American Express partners with business units to drive growth and innovation through technology, digital, and data capabilities. This team supports the delivery and operations of these services globally, focusing on technology engineering, architecture, and infrastructure with 24x7 support for uninterrupted customer and colleague experiences. They also manage enterprise platforms, technology risk, information security, enterprise data governance, digital product and design, and enterprise AI platforms.

The Software Engineer Intern will join a 10-week Summer Internship Program, contributing to real-world technology projects. This role involves building software, collaborating with Agile teams, and learning about product design, development, testing, and delivery in a global enterprise environment. Interns may be placed in teams focused on backend engineering, frontend engineering, cloud engineering, mobile, AI/machine learning, data oriented engineering, or full-stack product development. The core function is designing, coding, testing, and improving applications and services.

Key Responsibilities

• Discover and apply new technologies to solve real-world business challenges.
• Contribute to an Agile scrum team by developing, testing, and improving software applications.
• Write clean, maintainable code; participate in code reviews; and create unit tests.
• Explore and experiment with emerging AI-powered developer tools, automation capabilities, and machine learning concepts.
• Partner with Product Managers, Senior Engineers, Quality Engineers, and Architects to understand requirements and deliver value.
• Build confidence working across different technology stack areas: APIs, services, microservices, user interfaces, mobile experiences, cloud platforms, or data-driven solutions.
• Participate in social events, community service opportunities, learning sessions, and collaborative initiatives with fellow interns.

What You'll Learn

• How software is built and delivered at American Express, including structured onboarding, developer bootcamp concepts, code quality, testing, and secure engineering practices.
• How Product, Engineering, Quality, Security, and business partners collaborate from idea to production.
• How to translate customer or business needs into technical solutions while balancing quality, resilience, usability, and risk.
• How to communicate progress, ask effective questions, and share technical work with both technical and non-technical partners.
• How to grow your career through mentorship, feedback, community, and continuous learning.

Requirements & Tech Stack

• Currently enrolled in a full-time bachelor’s degree program.
• Bachelor’s degree candidates with an expected graduation date between December 2027 and June 2028.
• Demonstrated experience through coursework, projects, research, or extracurricular activities using one or more programming languages such as Java, JavaScript, Python, C#, Go, Kotlin, or similar technologies.
• Foundational understanding of computer science concepts including data structures, algorithms, object-oriented programming, debugging, and problem solving.
• Interest in building software applications across web, mobile, backend, cloud, API, or full-stack environments.
• Familiarity with modern software development practices such as version control, testing, code reviews, Agile methodologies, and collaborative development workflows.
• Curiosity and enthusiasm for emerging technologies, including artificial intelligence (AI), machine learning, intelligent automation, and AI-powered developer tools.
• Strong communication, teamwork, and collaboration skills with the ability to learn quickly, seek feedback, and work effectively in a diverse and inclusive environment.

Preferred Qualifications

• Understanding and experience leveraging AI powered development tools, generative AI, intelligent automation, responsible AI, and machine learning fundamentals.
• Ability to collaborate with Product, Engineering, Quality, Security, and business partners from idea through delivery.
• Ability to translate customer or business needs into technical solutions while balancing quality, resilience, usability, and risk.
• Strong communication skills, including the ability to share progress, ask effective questions, and explain technical work to technical and non-technical partners.
• Experience building and programming software through academic, personal, internship, open-source, hackathon, or project-based experiences.
• A student who communicates clearly, welcomes feedback, and brings an inclusive, customer-first mindset to team environments.

Technology Areas for Software Engineers

American Express Software Engineering Interns may be aligned to different technology teams based on business needs, project requirements, and individual strengths. Experience in one or more of the following areas is beneficial:

• Back-End Engineering: Java, Python, Golang, APIs, microservices, Big Data, or Data Engineering concepts.
• Front-End Engineering: JavaScript, React, TypeScript, REST APIs, accessibility, and user experience principles.
• Cloud Engineering: Java, Python, cloud-native development, microservices, CI/CD, containerization, and DevOps practices.
• Site Reliability Engineer: Knowledge of observability tools and methodologies, including experience with logging, monitoring, tracing, and performance analysis platforms.
• AI & Machine Learning Engineering: Java, Python, machine learning fundamentals, AI powered development tools, agentic workflows, AI agents, data processing, automation, and responsible AI concepts.
• Mobile Engineering: Swift, Kotlin, API integration, mobile testing frameworks, mobile architecture, and UI/UX fundamentals.
• Core Skills Across All Areas: Strong problem-solving abilities, computer science fundamentals, communication and collaboration skills, experience working in team environments, and curiosity for emerging technologies including Artificial Intelligence and Generative AI.