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About the Role

As a Software Engineer in the full-time Technology Graduate Program, you’ll join a 12-month technical and leadership development experience while contributing as a full-time colleague on an Enterprise Technology Services team. You’ll build software, collaborate with Agile teams, and help deliver secure, reliable, customer-first technology that supports the future of payments.

Responsibilities

Develop, test, and improve software applications as part of an Agile scrum team.
Write clean, maintainable code; participate in code reviews; and create unit tests with guidance from experienced engineers.
Identify opportunities to apply new technologies, automation, and engineering practices to solve real business challenges.
Partner with Product Managers, Senior Engineers, Quality Engineers, Architects, and business partners to understand requirements, prioritize features, and deliver value.
Work across different parts of the technology stack, such as APIs, services, microservices, user interfaces, mobile experiences, cloud platforms, or data-driven solutions.
Explore responsible use of AI-powered developer tools, machine learning concepts, and intelligent automation relevant to your team’s work.
Participate in graduate program learning, mentorship, networking, community, and career-development experiences while building your full-time career at American Express.

Requirements

Must have earned a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Software Engineering, or another technical field before the full-time start date.
Students must have a graduation date between December 2026 and June 2027.
Experience developing products or projects in an academic, personal, internship, research, open-source, hackathon, or professional setting.
Exposure to backend engineering, frontend engineering, cloud engineering, mobile engineering, AI / machine learning, data engineering, API development, or full-stack product development.
Familiarity with Java, JavaScript, React, TypeScript, Python, C#, Go, Kotlin, Node.js, REST APIs, SQL, Spring, or similar frameworks and tools.
Exposure to cloud-native development, microservices, containerization, CI/CD, DevOps, automated testing, accessibility, or secure software development concepts.
Interest in AI-powered development tools, generative AI, intelligent automation, responsible AI, or machine learning fundamentals.
Programming experience through coursework, projects, research, internships, open-source contributions, hackathons, or extracurricular activities using one or more languages such as Java, JavaScript, Python, C#, Go, Kotlin, Node.js, or similar technologies.
Interest in building software applications across web, mobile, backend, cloud, API, microservices, or full-stack environments.
Exposure to software development across backend, frontend, cloud, mobile, API, data, or full-stack environments.
Exposure to advanced AI software engineering concepts such as LLM integrations, prompt engineering, prompt evaluation, embeddings, retrieval-augmented generation, vector search, AI agents, agentic workflows, or human-in-the-loop review.
Familiarity with building or integrating AI-enabled applications using APIs, data pipelines, model inference endpoints, evaluation workflows, or cloud-based AI services.
Awareness of responsible AI practices, including model reliability, explainability, privacy, security, governance, bias mitigation, guardrails, and validation of AI-generated outputs.
Experience with modern software development practices such as version control, testing, code reviews, Agile methodologies, and collaborative development.
Curiosity for emerging technologies, including artificial intelligence, machine learning, developer productivity tooling, automation, and responsible AI practices.
Strong communication, teamwork, collaboration, learning agility, and the ability to learn emerging technologies.

Skills

Java
JavaScript
React
TypeScript
Python
C#
Go
Kotlin
Node.js
REST APIs
SQL
Spring
Cloud-native development
Microservices
Containerization
CI/CD
DevOps
Automated testing
Accessibility
Secure software development
AI-powered development tools
Generative AI
Intelligent automation
Responsible AI
Machine learning fundamentals
LLM integrations
Prompt engineering
Prompt evaluation
Embeddings
Retrieval-augmented generation
Vector search
AI agents
Agentic workflows
Human-in-the-loop review
AI-enabled applications
Data pipelines
Model inference endpoints
Evaluation workflows
Cloud-based AI services
Model reliability
Explainability
Privacy
Security
Governance
Bias mitigation
Guardrails
Validation of AI-generated outputs
Version control
Testing
Code reviews
Agile methodologies
Collaborative development
Artificial intelligence
Machine learning
Developer productivity tooling
Automation
Communication
Teamwork
Collaboration
Learning agility

Location

Remote

Work Type

Full-time

Experience Level

Entry Level
Graduate

Education Level

Bachelor's Degree
Master's Degree

Benefits

Benefits, programs, and flexibility that support you personally and professionally.

About the Company

At American Express, we empower technologists to learn, innovate, and make an impact from day one.
Enterprise Technology Services teams build, operate, and modernize the technology that helps American Express deliver trusted, secure, and customer-first products and services.