AI Engineer, Enterprise Technology Services

. Research emerging artificial intelligence and cybersecurity technologies, threats, techniques, and security capabilities .

Posted 10/24/2026internshipToronto • CanadaEntry Level💰 CA$47,000 - CA$71,000 per yearWebsite

Tools & technologies

CloudCyber SecurityJavaJavaScriptNode.jsPythonC++Go

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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