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About the Role

As a Master’s-level AI Engineer Intern focused on AI Security Research, you’ll join a 16-week Summer Internship Program and contribute to hands-on projects at the intersection of artificial intelligence, cybersecurity, and software engineering. You’ll apply graduate-level coursework or research experience to investigate emerging technologies, build working prototypes and proof-of-concepts, evaluate technical approaches, and help translate research ideas into measurable enterprise outcomes.

Responsibilities

Research emerging artificial intelligence and cybersecurity technologies, threats, techniques, and security capabilities; synthesize technical literature and translate findings into testable research questions.
Design and build prototypes, proof-of-concepts, security test harnesses, and experimental environments using Python and other modern programming languages.
Develop and test AI and agentic AI solutions, including LLM integrations, AI agents, tool calling, orchestration frameworks, retrieval patterns, and automated workflows.
Experiment with AI models for cybersecurity and software engineering use cases such as security analysis, threat detection, vulnerability research, application security testing, and automation.
Integrate APIs, AI models, security tools, cloud services, containers, data sources, and development environments to support research, prototyping, and technical evaluation.
Design test cases, benchmarks, and controlled experiments to evaluate solution effectiveness, reliability, security, limitations, and potential enterprise applications.
Conduct hands-on evaluations of open-source technologies, products, platforms, and emerging technical capabilities, validating technical claims through reproducible testing and analysis.
Analyze experimental results using qualitative and quantitative evidence; document findings, assumptions, risks, technical limitations, and recommendations while following responsible AI, security, privacy, governance, and compliance expectations.
Prepare technical documentation, research summaries, demonstrations, and presentations; share findings with AI, cybersecurity, engineering, architecture, product, and business stakeholders; and participate in Agile team practices and code reviews.

Requirements

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 another related technical field.
Students must have a graduation date aligned to the 2027 Graduate Masters Summer Internship eligibility window.
Strong hands-on programming experience, preferably with Python, and exposure to one or more languages such as Java, JavaScript/Node.js, Go, C/C++, Bash, PowerShell, or similar technologies.
Solid understanding of computer science and software engineering concepts, including data structures, algorithms, APIs, debugging, testing, version control, software design, and problem solving.
Graduate-level understanding of artificial intelligence, machine learning, generative AI, LLMs, AI agents, model evaluation, or related concepts through coursework, thesis work, research, projects, or labs.
Understanding of cybersecurity principles, threats, vulnerabilities, security controls, application security, cloud security, threat modeling, or secure software development practices.
Ability to independently investigate a bounded technical problem, design an experimental approach, build or test working solutions, analyze evidence, and document reproducible findings with appropriate guidance.
Strong analytical, problem-solving, written and verbal communication, collaboration, curiosity, and learning agility with the ability to work effectively in a research and engineering team environment.
Demonstrated hands-on experience through graduate coursework, thesis or academic research, personal projects, open-source contributions, security labs, hackathons, Capture-the-Flag competitions, internships, or other technical work.
Interest in the intersection of artificial intelligence, cybersecurity, software engineering, and emerging technologies, including AI security, agent security, application security, cloud security, security automation, or secure AI-enabled software development.
Experience building software projects, research prototypes, proof-of-concepts, experiments, test harnesses, intelligent assistants, AI agents, agentic workflows, or applied research demonstrations.
Experience with LLMs, generative AI, prompt engineering, embeddings, retrieval-augmented generation, tool or function calling, orchestration frameworks, model evaluation, or human-in-the-loop review.
Exposure to security research or testing techniques such as threat modeling, vulnerability research, AI red teaming, automated security testing, agent security testing, adversarial evaluation, or evaluation of AI-native cybersecurity tools.
Familiarity with APIs, cloud platforms, containers, data pipelines, development environments, security tools, or software integration patterns.
Experience designing benchmarks, experiments, or technical evaluations and using evidence to assess effectiveness, limitations, risks, and recommendations.
Awareness of secure software development, responsible AI, data protection, privacy, governance, compliance, research ethics, and responsible handling of sensitive information.
Strong initiative, responsible judgment, attention to detail, presentation skills, and comfort working collaboratively in an experimental, fast-learning environment.
Employment eligibility to work with American Express in Canada is required as the company will not pursue visa sponsorship for these positions.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Skills

Python
Java
JavaScript/Node.js
Go
C/C++
Bash
PowerShell
Data structures
Algorithms
APIs
Debugging
Testing
Version control
Software design
Problem solving
Artificial intelligence
Machine learning
Generative AI
LLMs
AI agents
Model evaluation
Cybersecurity principles
Threats
Vulnerabilities
Security controls
Application security
Cloud security
Threat modeling
Secure software development
AI security
Agent security
Security automation
Secure AI-enabled software development
Prompt engineering
Embeddings
Retrieval-augmented generation
Tool or function calling
Orchestration frameworks
Human-in-the-loop review
Threat modeling
Vulnerability research
AI red teaming
Automated security testing
Agent security testing
Adversarial evaluation
AI-native cybersecurity tools
Cloud platforms
Containers
Data pipelines
Development environments
Security tools
Software integration patterns
Responsible AI
Data protection
Privacy
Governance
Compliance
Research ethics

Location

Canada

Work Type

Summer Internship Program
Hybrid
Virtual

Experience Level

Master's-level
Intern

Education Level

Master’s degree

Salary/Compensations

Competitive base salaries

Benefits

Flexible work arrangements and schedules with hybrid and virtual options with Amex Flex
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Career development and training opportunities

About the Company

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues.
From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

Equal Opportunity

American Express is committed to providing an inclusive and accessible work environment in which all people who apply for positions or who work for or on behalf of Amex are treated with dignity and respect and are provided with equal treatment with respect to employment, regardless of that person's age, sex, sexual orientation, gender identity, gender expression, race, colour, ancestry, ethnic or national origin, citizenship, religion or creed, marital status, family status, pregnancy, disability, record of offences, social condition or origin, political beliefs, association or activity or other factors prohibited under applicable Human Rights legislation (the “Prohibited Grounds”).
If you have a disability and need accommodation, please speak with the Recruiter for more information.