Campus Undergraduate Full-Time Engineer - 2027 Software Engineer I, Enterprise Technology Services- Phoenix, AZ
Role Overview
Enterprise Technology Services teams build, operate, and modernize technology supporting secure, reliable, customer-first products and services.
The role may support backend, frontend, cloud, mobile, AI or machine learning, data-oriented, infrastructure-adjacent, or full-stack engineering.
Key Skills for This Role
Full Job Posting
Role Overview
Enterprise Technology Services teams build, operate, and modernize technology supporting secure, reliable, customer-first products and services.
The role may support backend, frontend, cloud, mobile, AI or machine learning, data-oriented, infrastructure-adjacent, or full-stack engineering.
Responsibilities
- Develop, test, and improve software applications within an Agile scrum team.
- Write maintainable code, participate in code reviews, and create unit tests with guidance.
- Collaborate with product, engineering, quality, architecture, and business partners to deliver value.
- Work across APIs, services, microservices, interfaces, mobile experiences, cloud platforms, and data-driven solutions.
- Explore AI-powered developer tools, machine learning concepts, and intelligent automation.
- Participate in graduate learning, mentorship, networking, community, and career-development activities.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or another technical field before full-time start.
- Experience developing products or projects in academic, personal, internship, research, open-source, hackathon, or professional settings.
- Exposure to software engineering areas including backend, frontend, cloud, mobile, AI or machine learning, data, APIs, or full stack.
- Familiarity with at least one listed programming language, framework, API, database, or related development tool.
- Exposure to cloud-native development, microservices, containerization, CI/CD, DevOps, testing, accessibility, or secure development.
- Interest in AI-powered development tools, generative AI, intelligent automation, responsible AI, or machine learning fundamentals.
Preferred Qualifications
- Expected graduation date between December 2026 and June 2027.
- Exposure to advanced AI concepts including LLM integrations, prompt engineering, embeddings, retrieval-augmented generation, vector search, or AI agents.
- Familiarity with AI-enabled applications, data pipelines, model inference endpoints, evaluation workflows, or cloud-based AI services.
- Awareness of responsible AI practices including reliability, explainability, privacy, security, governance, bias mitigation, guardrails, and validation.
- Experience with version control, testing, code reviews, Agile methodologies, and collaborative development.
- Strong communication, teamwork, collaboration, learning agility, and curiosity for emerging technologies.
Workplace
- Working arrangements may be hybrid, onsite, or virtual depending on the role and business need.
About American Express
American Express emphasizes innovation, customer support, risk management, trust, security, learning, and career growth.
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