Campus Undergraduate Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- Toronto, Ontario, CN
Toronto, ON, Canada3d ago
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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
- Posted
- 3d ago
Skills
About the role
At American Express, we empower future technologists to learn, experiment, and make an impact from day one. As an 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 research emerging technologies, build working prototypes and proof-of-concepts, evaluate technical approaches, and learn how solutions are designed, tested, documented, and delivered in a global enterprise environment.
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 ideas into code, experiments, measurable results, and reusable capabilities while applying responsible AI, security, privacy, and governance practices.
About the Team
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 an undergraduate AI Engineer Intern, you’ll contribute at an early-career level with guidance from experienced engineers and researchers. You’ll gain practical experience investigating technical problems, building and testing solutions, analyzing results, and communicating findings to technical and non-technical partners.
What type of work can you expect? How will you make an impact in this role?
Research emerging artificial intelligence and cybersecurity technologies, threats, techniques, and security capabilities with guidance from experienced engineers and researchers.
Build prototypes, proof-of-concepts, security test harnesses, and experimental environments using Python and other modern programming languages.
Assist in developing and testing 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 and prototyping.