American Express jobs

Minimum Qualifications

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  Currently enrolled in a full-time Master’s degree program in Computer Science, Artificial Intelligence, Machine Learning, Cybersecurity, Computer Engineering, Software Engineering, Data Science, Information Systems, or another related technical field.

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  Students must have a graduation date aligned to the 2027 Graduate Masters Summer Internship eligibility window.

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  Strong 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.

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  Solid understanding of computer science and software engineering concepts, including data structures, algorithms, APIs, debugging, testing, version control, software design, and problem solving.

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  Graduate-level understanding of artificial intelligence, machine learning, generative AI, LLMs, AI agents, model evaluation, or related concepts through coursework, thesis work, research, projects, or labs.

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  Understanding of
  cybersecurity principles, threats, vulnerabilities, security controls, application security, cloud security, threat modeling, or secure software development practices.

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  Ability to independently investigate a bounded technical problem, design an experimental approach, build or test working solutions, analyze evidence, and document reproducible findings with appropriate guidance.

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  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.

Preferred Qualifications

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  Demonstrated hands-on experience through graduate coursework, thesis or academic research, personal projects, open-source contributions, security labs, hackathons, Capture-the-Flag competitions, internships, or other technical work.

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  Interest in the intersection of artificial intelligence, cybersecurity, software engineering, and emerging technologies, including AI security, agent security, application security, cloud security, security automation, or secure AI-enabled software development.

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  Experience building software projects, research prototypes, proof-of-concepts, experiments, test harnesses, intelligent assistants, AI agents, agentic workflows, or applied research demonstrations.

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  Experience with LLMs, generative AI, prompt engineering, embeddings, retrieval-augmented generation, tool or function calling, orchestration frameworks, model evaluation, or human-in-the-loop review.

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  Exposure to
  security research or testing techniques such as threat modeling, vulnerability research, AI red teaming, automated security testing, agent security testing, adversarial evaluation, or evaluation of AI-native cybersecurity tools.

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  Familiarity with APIs, cloud platforms, containers, data pipelines, development environments, security tools, or software integration patterns.

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  Experience designing benchmarks, experiments, or technical evaluations and using evidence to assess effectiveness, limitations, risks, and recommendations.

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  Awareness of secure software development, responsible AI, data protection, privacy, governance, compliance, research ethics, and responsible handling of sensitive information.

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  Strong initiative, responsible judgment, attention to detail, presentation skills, and comfort working collaboratively in an experimental, fast-learning environment.