Campus Graduate Masters Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- Toronto, Ontario, CN
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Key details
- Location
- Toronto, ON, Canada
- Work style
- Hybrid
- Level
- Intern
- Job type
- Full-time
- Function
- Data & ML
- Focus area
- AI / ML
- Visa sponsorship
- No visa sponsorship
- Posted
- 1w ago
Skills
About the role
At American Express, we empower future technologists and researchers to learn, experiment, and make an impact from day one. As a Master’s-level AI Engineer Intern focused on AI Security Research in Enterprise Technology Services, 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.
In this role, you may explore AI security, agentic AI, application security, generative AI and advanced AI models for cybersecurity, security automation, cloud security, secure software development, and other emerging technologies. You’ll work with AI engineers, cybersecurity engineers, researchers, architects, product partners, and business stakeholders to turn research questions into code, experiments, evaluation results, and reusable capabilities while applying responsible AI, security, privacy, and governance practices.
Enterprise Technology Services teams build and operate technology that helps American Express deliver trusted, secure, and customer-first products and services. The AI Security Research team explores emerging AI and cybersecurity capabilities, develops prototypes and experimental environments, and evaluates how new technologies may be applied responsibly and securely in an enterprise setting.
As a Master’s-level AI Engineer Intern, you’ll contribute with guidance from experienced engineers and researchers while taking ownership of defined research and engineering workstreams. You’ll gain practical experience framing technical questions, designing experiments, building and testing solutions, analyzing results, and communicating findings to technical and non-technical partners. You can expect to:
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.