Campus Graduate Full-Time Engineer - 2027 AI Engineering, Enterprise Technology Services- Toronto, Ontario, CN
About The Position
American Express is hiring an early-career AI Engineer I for its Enterprise Technology Services AI Security Research team. The role contributes to developing, evaluating, and deploying AI-enabled solutions to strengthen cybersecurity capabilities, software engineering productivity, and enterprise security operations. Working with experienced engineers, researchers, architects, and cybersecurity professionals, the engineer helps build scalable solutions and proof-of-concepts, conducts technical evaluations, and translates emerging technologies into business value. Work may involve AI security, agentic AI, generative AI, AI-powered cybersecurity, application security, cloud security, automation, and secure software development. The AI Security Research team evaluates emerging AI and cybersecurity technologies and investigates how AI can be applied safely and responsibly to improve security outcomes. It works across Engineering, Product, Risk, and Cybersecurity while maintaining governance, privacy, and security standards. The role applies software engineering practices, AI technologies, and security principles in a global enterprise environment. The position is based in Toronto, Ontario. Employment eligibility to work in Canada is required; American Express will not pursue visa sponsorship for these positions. Employment is conditioned on successful completion of a background verification check, subject to applicable laws and regulations.
Requirements
- Bachelor'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.
- Programming experience 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 passion for technology innovation.
- Eligibility to work in Canada; visa sponsorship will not be pursued.
Nice To Haves
- 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.
Responsibilities
- 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 enterprise solutions.
Benefits
- Competitive base salaries
- Bonus incentives
- Support for financial well-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability benefits, depending on location
- Flexible working model with hybrid, onsite, or virtual arrangements depending on role and business need
- Generous paid parental leave policies, depending on location
- Free access to global onsite wellness centers staffed with nurses and doctors, depending on location
- Free and confidential counseling support through the Healthy Minds program
- Career development and training opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
