American Express
Campus Graduate Masters Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Phoenix, AZ
Phoenix, AZ · Hybrid · Full-time · Posted Nov 3, 2026
- Education
- Master’s degree in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Computer Engineering, Software Engineering, or another technical field, earned before the full-time start date.
- Visa sponsorship
- Employment eligibility to work with American Express in the United States is required; the company will not pursue visa sponsorship for these positions.
About the job
Supports the development, testing, integration, and responsible delivery of enterprise AI and machine-learning solutions, including LLM integrations, data pipelines, retrieval, and agentic workflows.
What you'll do
- Support AI/ML model development, testing, integration, and data preparation under guidance.
- Help debug and improve AI solutions and support model training, inference, evaluation, retrieval, or agent workflows.
- Collaborate with technical and business partners, document technical work, and follow enterprise reliability, security, and governance expectations.
What they ask for
- Must earn a master’s degree in a listed technical field before the full-time start date.
- Knowledge of Python and foundational data processing technologies.
- Foundational knowledge of computer science and machine-learning concepts.
- Introductory understanding of modern AI systems, such as LLM APIs, prompt interactions, retrieval patterns, or generative AI applications.
Nice to have
- Expected master’s graduation between December 2026 and June 2027.
- Relevant project, coursework, research, internship, or other experience with AI/ML, language models, APIs, data pipelines, or collaborative software development.
Pay
USD $78000 - $124750 annually (base salary)
Tools
Python, R, Java, JavaScript, Git, BERT, LLMs
AI focus
Develops and tests AI/ML models, generative AI and LLM integrations, retrieval pipelines, AI agents, and agentic workflows, with attention to responsible, secure, and reliable enterprise delivery.
Model-written summary · the original posting is authoritative