Senior AI Engineer building Python/TypeScript agents and automations for TRM Labs’ AI - powered crime and threat intelligence platforms. Embedded with Product, Marketing, and Design to accelerate decisions and delivery.
About the role
- AI Engineer Intern researching AI security and cybersecurity technologies at American Express. Building prototypes, testing AI solutions, and evaluating secure enterprise applications.
Responsibilities
- 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
- 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
- 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
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