About the role#
As a Master’s-level AI Engineer Intern within Enterprise Technology Services, you will join a 16-week summer program focused on the intersection of artificial intelligence and cybersecurity. You will work with engineers and researchers to investigate emerging technologies, build prototypes, and translate research into measurable enterprise outcomes. This role involves framing technical questions, designing experiments, and communicating findings to various stakeholders.
What you'll do#
- Research emerging AI and cybersecurity technologies and translate findings into testable research questions.
- Design and build prototypes, proof-of-concepts, and security test harnesses using Python and other modern languages.
- Develop and test AI solutions, including LLM integrations, AI agents, orchestration frameworks, and automated workflows.
- Experiment with AI models for cybersecurity use cases like threat detection, vulnerability research, and application security testing.
- Integrate APIs, cloud services, containers, and data sources into experimental environments.
- Design benchmarks and controlled experiments to evaluate solution effectiveness, reliability, and security.
- Conduct hands-on evaluations of open-source technologies and platforms.
- Analyze experimental results using qualitative and quantitative evidence.
- Document findings, assumptions, risks, and recommendations while following responsible AI and privacy practices.
- Prepare technical documentation, research summaries, and presentations for engineering and business stakeholders.
- Participate in Agile team practices and code reviews.
What you'll need#
- Currently enrolled in a full-time Master’s degree program in Computer Science, Artificial Intelligence, Machine Learning, Cybersecurity, Computer Engineering, Software Engineering, Data Science, Information Systems, or a related field.
- Graduation date aligned to the 2027 Graduate Masters Summer Internship eligibility window.
- Strong hands-on programming experience, preferably with Python.
- Exposure to languages such as Java, JavaScript/Node.js, Go, C/C++, Bash, or PowerShell.
- Solid understanding of computer science concepts including data structures, algorithms, APIs, debugging, testing, version control, and software design.
- Graduate-level understanding of AI, machine learning, generative AI, LLMs, AI agents, or model evaluation.
- Understanding of cybersecurity principles, including threat modeling, application security, cloud security, and secure development practices.
- Ability to independently investigate technical problems, design experimental approaches, and document reproducible findings.
- Strong analytical, problem-solving, and communication skills.
Location & details#
- Location: Toronto, Ontario, Canada.
- Term: Summer 2027 (16 weeks).
- Work Modality: Hybrid.
- Employment Type: Full-time.
- Compensation: Paid internship.
- Note: Sponsorship for employment eligibility is not provided.
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.
