Campus Graduate Full-Time Engineer - 2027 AI Engineering, Enterprise Technology Services- Toronto, Ontario, CN
Employer not yet confirmed · Toronto, ON, Canada · hybrid
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.
- Contribute to software design reviews, code reviews, testing activities, and Agile delivery processes.
- Create technical documentation, implementation plans, solution designs, and research findings.
- Apply responsible AI, security, privacy, governance, and compliance practices throughout the software development lifecycle.
- Partner with engineers, architects, product teams, and business stakeholders to deliver innovative enterprise solutions.
Required Qualifications
- Master's degree completed or expected by May 2027 in Computer Science, Artificial Intelligence, Machine Learning, Cybersecurity, Computer Engineering, Software Engineering, Information Systems, or a related technical discipline.
- Experience programming in Python and familiarity with one or more languages such as Java, JavaScript, Go, C/C++, or similar technologies.
- Understanding of software engineering fundamentals including data structures, algorithms, object-oriented programming, APIs, testing, debugging, and version control.
- Foundational understanding of artificial intelligence, machine learning, generative AI, LLMs, or related technologies gained through coursework, personal projects, research, or internships.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication abilities.
- Ability to collaborate effectively within cross functional and geographically distributed teams.
- Demonstrated curiosity, learning agility, and a passion for technology innovation.
Preferred Qualifications
- Internship, co-op, research, or project experience involving software development, AI, machine learning, cybersecurity, or cloud technologies.
- Experience building AI applications, intelligent assistants, agentic workflows, or automation solutions.
- Familiarity with LLMs, prompt engineering, embeddings, retrieval-augmented generation (RAG), tool calling, or orchestration frameworks.
- Exposure to cybersecurity concepts such as threat modeling, vulnerability management, secure coding, security testing, or cloud security.
- Familiarity with APIs, cloud platforms, containers, development tools, and software integration patterns.
- Experience participating in hackathons, open-source projects, research programs, or technical competitions.
- Understanding of responsible AI, data privacy, governance, and secure software development practices.
- Strong initiative, attention to detail, and willingness to take ownership of deliverables.
Employment eligibility to work with American Express in Canada is required as the company will not pursue visa sponsorship for these positions.