Campus Graduate Masters 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. Our team is responsible for technology engineering, architecture, and infrastructure, providing 24x7 support and managing core enterprise platforms, technology risk, information security, enterprise data governance, digital product and design, and enterprise AI platforms.

As a Software Engineer Intern, you will join a 10-week Summer Internship Program contributing to real-world technology projects. You will build software, collaborate with Agile teams, and learn how products are designed, developed, tested, and delivered in a global enterprise environment. Interns may be aligned to scrum teams focusing on backend engineering, frontend engineering, cloud engineering, mobile, AI/machine learning, data oriented engineering, or full-stack product development.

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 with coaching.
• 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, prioritize features, and deliver value.
• Build confidence working across different parts of the technology stack, such as 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 graduate master's degree program.
• Graduate master'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.

Technology Areas for Software Engineers

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.

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.