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About the Role

As an AI Engineer Intern focused on AI Security Research in Enterprise Technology Services, you’ll join a 16-week Summer Internship Program and contribute to hands-on projects at the intersection of artificial intelligence, cybersecurity, and software engineering. You’ll research emerging technologies, build working prototypes and proof-of-concepts, evaluate technical approaches, and learn how solutions are designed, tested, documented, and delivered in a global enterprise environment.

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 to support research and prototyping.
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, helping validate technical claims through testing and analysis.
Analyze experimental results and document findings, assumptions, risks, technical limitations, and recommendations.
Prepare technical documentation, research summaries, demonstrations, and presentations; share findings with stakeholders; and 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 one or more languages such as 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 through coursework, research, projects, labs, or extracurricular activities.
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 with the ability to work effectively in a research and engineering team environment.
Demonstrated hands on experience through academic coursework, research, personal projects, open-source contributions, security labs, hackathons, Capture-the-Flag competitions, or other extracurricular technical work.
Interest in the intersection of artificial intelligence, cybersecurity, software engineering, and emerging technologies.
Experience building software projects, prototypes, proof-of-concepts, research experiments, test harnesses, intelligent assistants, AI agents, agentic workflows, or hackathon solutions.
Familiarity with LLMs, generative AI, prompt engineering, embeddings, retrieval-augmented generation, tool or function calling, orchestration frameworks, model evaluation, or human-in-the-loop review.
Exposure to security research or testing techniques such as threat modeling, vulnerability research, AI red teaming, automated security testing, agent security testing, or evaluation of AI-native cybersecurity tools.
Familiarity with APIs, cloud platforms, containers, data pipelines, development environments, security tools, or software integration patterns.
Experience designing test cases, benchmarks, experiments, or technical evaluations and using evidence to summarize effectiveness, limitations, risks, and recommendations.
Awareness of secure software development, responsible AI, data protection, privacy, governance, compliance, and responsible handling of sensitive information.
Strong initiative, responsible judgment, attention to detail, presentation skills, and comfort working collaboratively in an experimental, fast learning environment.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Skills

Python
Java
JavaScript/Node.js
Go
C/C++
Bash
PowerShell
Computer Science Concepts
Software Engineering Concepts
Data Structures
Algorithms
APIs
Debugging
Testing
Version Control
Problem Solving
Artificial Intelligence
Machine Learning
Generative AI
LLMs
AI Agents
Cybersecurity Principles
Threat Modeling
Application Security
Cloud Security
Secure Software Development
Responsible AI
Security
Privacy
Governance
Compliance
Prompt Engineering
Embeddings
Retrieval-Augmented Generation
Tool Calling
Orchestration Frameworks
Model Evaluation
Human-in-the-loop Review
Vulnerability Research
AI Red Teaming
Automated Security Testing
Cloud Platforms
Containers
Data Pipelines
Development Environments
Security Tools
Software Integration Patterns

Location

Hybrid
Virtual

Work Type

Internship
Summer Internship Program
Full-time

Experience Level

Intern
Early-career

Education Level

Bachelor’s degree

Salary/Compensations

Competitive base salaries

Benefits

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

About the Company

At American Express, our culture is built on a 175-year history of innovation, shared values, and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues.
From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

Equal Opportunity

American Express is committed to providing an inclusive and accessible work environment in which all people who apply for positions or who work for or on behalf of Amex are treated with dignity and respect and are provided with equal treatment with respect to employment, regardless of that person's age, sex, sexual orientation, gender identity, gender expression, race, colour, ancestry, ethnic or national origin, citizenship, religion or creed, marital status, family status, pregnancy, disability, record of offences, social condition or origin, political beliefs, association or activity or other factors prohibited under applicable Human Rights legislation (the “Prohibited Grounds”).
If you have a disability and need accommodation, please speak with the Recruiter for more information.