Campus Undergraduate Full-Time Engineer - 2027 Software Engineer I, Enterprise Technology Services- Phoenix, AZ

American Express • Phoenix, AZ

5d • Onsite

About The Position

Enterprise Technology Services teams build, operate, and modernize the technology that helps American Express deliver trusted, secure, and customer-first products and services. Software Engineers may support teams across backend engineering, frontend engineering, cloud engineering, mobile, AI/ machine learning, data-oriented engineering, infrastructure-adjacent engineering, or full-stack product development. You will design, code, test, improve, and support applications and services that help customers, colleagues, and partners get work done reliably and securely.

Requirements

• Must have earned a Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or another technical field before the full-time start date.
• 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.

Nice To Haves

• Bachelor's degree candidates with an expected graduation date between December 2026 and June 2027.
• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level