About the role#
As a Cybersecurity AI Engineer Intern, you will join a 10-week summer program focused on building, testing, and scaling AI-enabled solutions. You will work alongside engineers, product teams, and security partners to learn how enterprise AI systems are designed and delivered. This role provides an opportunity to contribute to real-world technology projects while gaining experience in a global enterprise environment.
What you'll do#
- Support the development and integration of AI/ML models, LLM integrations, and intelligent services into production-like systems.
- Assist with data collection, preprocessing, transformation, and management to enable model training and evaluation.
- Contribute to testing, debugging, and improving AI-enabled solutions to strengthen performance, reliability, and explainability.
- Support AI capabilities, including model training workflows, inference endpoints, prompt-based interactions, and agentic workflows.
- Document model parameters, evaluation assumptions, data pipelines, and technical decisions to support reproducibility.
- Participate in Agile development practices, such as sprint planning, stand-ups, code reviews, and team ceremonies.
- Assist in ensuring AI systems align with enterprise expectations for safety, governance, security, and compliance.
- Build foundational skills across AI-adjacent technology areas, including APIs, cloud environments, data platforms, CI/CD, and containerization.
What you'll need#
- Currently enrolled in a full-time bachelor’s degree program in Computer Science or Computer Engineering.
- 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, 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, documentation, and learning agility with the ability to work effectively in a team.
- Demonstrated experience through coursework, research, projects, open-source contributions, or previous internships using Python, R, Java, or JavaScript.
- Interest in machine learning, generative AI, natural language processing, intelligent automation, or AI-enabled software development.
- Familiarity with NLP techniques, such as fuzzy matching, embeddings, BERT, or transformers.
- Exposure to prompt engineering, function calling, or agent workflow concepts.
- Familiarity with APIs, data pipelines, ETL processes, cloud environments, or containerized development.
- Awareness of CI/CD, version control, and collaborative software engineering workflows.
Location & details#
- Location: Phoenix, Arizona, United States.
- Term: Summer 2027.
- Modality: On-site, hybrid, or remote options available based on role and business needs.
- Employment: Full-time internship.
- This is a paid position.
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.
