AI Engineer, Enterprise Technology Services

American Express

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

Posted 11/3/2026full-timeToronto • CanadaEntry Level💰 CA$47,000 - CA$71,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates proficiency in Python programming and foundational knowledge of artificial intelligence, machine learning, and cybersecurity principles. Capable of developing prototypes, conducting experiments, and analyzing results within a collaborative research and engineering team environment.

Highest-signal resume keywords

Python ProgrammingArtificial IntelligenceMachine LearningCybersecurity PrinciplesAgile Team Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Programming LanguagesData StructuresAlgorithmsAPIsDebuggingTestingVersion ControlSecurity AnalysisThreat DetectionApplication Security Testing

Soft Skills

Analytical SkillsProblem-SolvingWritten CommunicationVerbal CommunicationCollaboration

Tools & Technologies

JavaJavaScriptNode.jsGoC/C++BashPowerShellCloud ServicesOpen-Source TechnologiesDevelopment Environments

Industry Keywords

Artificial IntelligenceMachine LearningCybersecurityGenerative AILLMsAI AgentsSecurity ControlsCloud SecurityThreat ModelingSecure Software Development

Tech Stack

Tools & technologies

CloudCyber SecurityJavaJavaScriptNode.jsPythonC++Go

About the role

Key responsibilities & impact

Research emerging artificial intelligence and cybersecurity technologies, threats, techniques, and security capabilities
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
Develop test cases, benchmarks, and experiments to evaluate solution effectiveness, reliability, security, limitations, and potential enterprise applications
Support hands-on evaluations of open-source technologies, products, platforms, and emerging technical capabilities
Analyze experimental results and document findings, assumptions, risks, technical limitations, and recommendations
Follow responsible AI, security, privacy, governance, and compliance expectations
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

Requirements

What you’ll need

Currently enrolled in a full-time Bachelor’s degree program in Computer Science, Artificial Intelligence, Machine Learning, Cybersecurity, Computer Engineering, Software Engineering, Information Systems, or another related technical field
Students must have a graduation date between December 2027 and June 2028
Hands-on programming experience, preferably with Python, and exposure to Java, JavaScript/Node.js, Go, C/C++, Bash, PowerShell, or similar technologies
Foundational understanding of computer science and software engineering concepts, including data structures, algorithms, APIs, debugging, testing, version control, and problem solving
Foundational understanding of artificial intelligence, machine learning, generative AI, LLMs, AI agents, or related concepts
Basic understanding of cybersecurity principles, threats, vulnerabilities, security controls, application security, cloud security, threat modeling, or secure software development practices
Ability to learn new technologies, investigate technical problems, build or test working solutions, analyze results, and document findings with appropriate guidance
Strong analytical, problem-solving, written and verbal communication, collaboration, curiosity, and learning agility
Ability to work effectively in a research and engineering team environment
Employment is conditioned upon successful completion of a background verification check, subject to applicable laws and regulations

Benefits

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
Benefits
Comprehensive support for physical, financial, and mental health
Inclusive and accessible work environment
Accommodation support for disabilities