About the role#
As an AI Engineer Intern, you will join a 10-week Summer Internship Program within the Enterprise Technology Services organization. You will contribute to real-world technology projects that help teams explore, build, test, and scale AI-enabled solutions. You will work alongside engineers, product managers, and data practitioners to learn how enterprise AI systems are designed and delivered with a focus on reliability, security, and governance.
What you'll do#
- Support the development and integration of AI/ML models, LLM integrations, and intelligent services into systems.
- Assist with data collection, preprocessing, transformation, and management.
- Contribute to testing, debugging, and improving AI-enabled solutions.
- Support AI capabilities including model training workflows, inference endpoints, prompt-based interactions, evaluation routines, data retrieval pipelines, and agentic workflows.
- Collaborate with engineering, product, data, risk, security, and business partners.
- Document model parameters, prompts, evaluation assumptions, data pipelines, system integrations, and technical decisions.
- Participate in Agile development practices.
- Ensure AI systems and features align with enterprise expectations for reliability, safety, governance, security, and compliance.
- Build foundational confidence working across APIs, cloud environments, data platforms, CI/CD, containers, model deployment patterns, and monitoring.
What you'll need#
- Currently enrolled in a full-time Master's degree program with an expected graduation date between December 2027 and June 2028.
- Knowledge of Python and foundational data processing technologies.
- Foundational understanding of computer science concepts including data structures, algorithms, debugging, testing, and problem solving.
- Understanding of machine learning concepts such as model training, evaluation, feature engineering, and experimentation.
- Experience using modern AI systems such as LLM APIs, prompt-based interactions, retrieval patterns, or generative AI applications.
- Awareness of responsible AI, security, governance, compliance, and reliability considerations.
- Strong communication, collaboration, documentation, and learning agility.
- Demonstrated experience through academic coursework, research, projects, open source contributions, internships, or extracurricular activities.
- Interest in machine learning, generative AI, natural language processing, intelligent automation, data engineering, agentic AI, or AI-enabled software development.
- Experience building AI-powered applications, copilots, intelligent assistants, agentic workflows, research prototypes, or hackathon solutions.
- Familiarity with NLP techniques and model concepts such as fuzzy matching, embeddings, BERT, transformers, or other modern language models.
- Exposure to prompt engineering, prompt evaluation, tools, function calling, or agent workflow concepts.
- Familiarity with APIs, data pipelines, ETL processes, cloud environments, or containerized development.
- Awareness of CI/CD, version control, testing, code reviews, and collaborative software engineering workflows.
Location & details#
- Location: Phoenix, Arizona.
- Term: Summer 2027.
- Modality: Remote, on-site, or hybrid options available.
- Employment: Full-time internship.
- Note: This position does not provide visa sponsorship.
About American Express
American Express is a globally integrated payments company that provides products, insights, and experiences to customers and businesses. Founded in 1850, the firm maintains its headquarters in New York. It employs over 99,000 people and operates as a public company. Its core operations include network services, merchant services, corporate cards, and business travel.
How to get in at American Express
Securing an internship at American Express requires a proactive approach to the application timeline. Because early applicants are often reviewed before the candidate pool grows, Intern Insider sends an instant alert the moment a role matching your target is published, helping you apply among the first. This timing often provides a distinct advantage in the selection process. You can also improve your response rates by reaching out to the recruiters behind the company's roles directly. Intern Insider surfaces these specific contacts so you can send a thoughtful inquiry or request a referral, which is a far more effective strategy than waiting for a response from a general queue.
