Campus Graduate Masters Summer Internship

Responsibilities

• Research emerging artificial intelligence and cybersecurity technologies, threats, techniques, and security capabilities.
• Design and build prototypes, proof-of-concepts, security test harnesses, and experimental environments using Python and other programming languages.
• Develop and test AI and agentic AI solutions involving LLM integrations, AI agents, tool calling, orchestration frameworks, retrieval patterns, and automated workflows.
• Experiment with AI models for 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.
• Design benchmarks, test cases, and controlled experiments to evaluate effectiveness, reliability, security, limitations, and enterprise applications.
• Conduct hands-on evaluations of open-source technologies, products, platforms, and emerging technical capabilities.
• Analyze and document results, assumptions, risks, limitations, and recommendations while following responsible AI, security, privacy, governance, and compliance expectations.
• Prepare technical documentation, research summaries, demonstrations, and presentations for technical and non-technical stakeholders.

Requirements

• Currently enrolled full-time in a Master’s degree program in Computer Science, Artificial Intelligence, Machine Learning, Cybersecurity, Computer Engineering, Software Engineering, Data Science, Information Systems, or a related technical field.
• Graduation date must align with the 2027 Graduate Masters Summer Internship eligibility window.
• Strong hands-on programming experience, preferably with Python, and exposure to Java, JavaScript/Node.js, Go, C/C++, Bash, PowerShell, or similar technologies.
• Understanding of computer science and software engineering concepts including data structures, algorithms, APIs, debugging, testing, version control, and software design.
• Graduate-level understanding of artificial intelligence, machine learning, generative AI, LLMs, AI agents, or model evaluation through coursework, research, projects, or labs.
• Understanding of cybersecurity principles, vulnerabilities, security controls, application security, cloud security, threat modeling, or secure software development.
• Ability to investigate bounded technical problems, design experiments, build or test solutions, analyze evidence, and document reproducible findings.
• Preferred qualifications include graduate research, software projects, open-source contributions, security labs, hackathons, Capture-the-Flag competitions, internships, or other technical work.
• Preferred experience includes LLMs, generative AI, prompt engineering, embeddings, retrieval-augmented generation, tool or function calling, orchestration frameworks, model evaluation, AI red teaming, vulnerability research, and automated security testing.
• Familiarity with APIs, cloud platforms, containers, data pipelines, development environments, security tools, software integration patterns, responsible AI, privacy, governance, compliance, and research ethics.
• Employment eligibility to work in Canada is required.

Benefits

• 16-week Summer Internship Program aligned to the 2027 Graduate Masters eligibility window.
• Flexible work arrangements and schedules with hybrid and virtual options through Amex Flex.
• Access to global on-site wellness centers staffed with nurses and doctors, depending on location.
• Career development and training opportunities.
• Competitive base salaries.
• American Express will not pursue visa sponsorship for these positions.