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About the role
- Master’s AI Engineer intern researching AI security for American Express enterprise technology. Building prototypes, experiments, and evaluations with AI and cybersecurity teams.
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
- 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 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 test cases, benchmarks, and controlled experiments
- Evaluate open-source technologies, products, platforms, and emerging technical capabilities through reproducible testing
- Analyze experimental results and document findings, risks, limitations, and recommendations
- Prepare technical documentation, research summaries, demonstrations, and presentations
- Share findings with AI, cybersecurity, engineering, architecture, product, and business stakeholders
- 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
- Graduation date aligned to the 2027 Graduate Masters Summer Internship eligibility window
- Strong hands-on programming experience, preferably with Python
- Exposure to Java, JavaScript/Node.js, Go, C/C++, Bash, PowerShell, or similar technologies
- Solid understanding of 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, and model evaluation
- Understanding of cybersecurity principles, threats, vulnerabilities, security controls, application security, cloud security, threat modeling, or secure software development practices
- Ability to independently investigate technical problems, design experiments, build or test solutions, analyze evidence, and document reproducible findings
- Strong analytical, problem-solving, written and verbal communication, collaboration, curiosity, and learning agility
- Employment eligibility to work with American Express in Canada; no visa sponsorship provided
Benefits
- Competitive base salaries
- 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
- Bonus
- Comprehensive support for physical, financial, and mental health
- Inclusive and accessible work environment
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