Campus Graduate Full-Time Engineer - 2027 AI Engineering, Enterprise Technology Services- Toronto, Ontario, CN
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Key details
- Location
- Toronto, ON, Canada
- Work style
- Hybrid
- Job type
- Full-time
- Function
- Data & ML
- Focus area
- AI / ML
- Visa sponsorship
- No visa sponsorship
- Posted
- 1w ago
Skills
About the role
American Express is seeking innovative and motivated graduates to join Enterprise Technology Services as an AI Engineer I focused on AI Security Research. In this full-time role, you will contribute to the development, evaluation, and deployment of AI-enabled solutions that enhance cybersecurity capabilities, software engineering productivity, and enterprise security operations.
As an early career AI Engineer, you will work alongside experienced engineers, researchers, architects, and cybersecurity professionals to build scalable solutions, develop proof-of-concepts, conduct technical evaluations, and help translate emerging technologies into business value. You will apply software engineering practices, AI technologies, and security principles while learning how innovation is executed responsibly within a global enterprise environment.
In this role, you may support initiatives involving AI security, agentic AI, generative AI, AI-powered cybersecurity solutions, application security, cloud security, automation, and secure software development practices.
Enterprise Technology Services teams build and operate technology that helps American Express deliver secure, reliable, and customer-first products and services globally.
The AI Security Research team evaluates emerging AI and cybersecurity technologies, develops innovative solutions, and investigates how artificial intelligence can be applied safely and responsibly to improve security outcomes. The team collaborates across Engineering, Product, Risk, and Cybersecurity organizations to advance enterprise capabilities while maintaining strong governance, privacy, and security standards. You can expect to:
Design, develop, test, and maintain AI-enabled applications, services, and automation solutions.
Build software components, prototypes, and proof-of-concepts using Python and other modern programming languages.
Develop and integrate AI models, LLM-powered applications, AI agents, APIs, and workflow orchestration solutions.
Collaborate with cybersecurity engineers and researchers to evaluate AI applications for threat detection, security automation, vulnerability management, and software engineering use cases.
Participate in technical research, experimentation, benchmarking, and solution evaluation activities.
Analyze data, experimental results, and performance metrics to identify opportunities for improvement.