Campus Undergraduate Summer Internship Program - 2027 Cybersecurity AI Engineer, Enterprise Technology Services- Phoenix, AZ

American Express • Phoenix, AZ

5d • $24 - $63

About The Position

The Cybersecurity AI Engineer Intern is part of American Express’s 10-week Summer Internship Program within Enterprise Technology Services. The organization builds and operates technology, digital, and data capabilities, platforms, and services globally, including technology engineering, architecture, infrastructure, enterprise platforms, information security, data governance, and AI platforms. The intern contributes to real-world technology projects and learns how AI-enabled solutions are designed, developed, tested, and delivered in a global enterprise environment.

The intern may support work involving machine learning, generative AI, intelligent automation, data pipelines, retrieval patterns, model evaluation, AI agents, agentic workflows, or AI-enabled software features. Working with engineering, product, data, security, risk, and business partners, the intern learns how intelligent systems are built, validated, integrated, monitored, and governed responsibly, reliably, and securely. Team assignments may include backend or frontend engineering, cloud, mobile, AI/machine learning, data-oriented engineering, or full-stack product development.

Requirements

• Currently enrolled in a full-time bachelor’s degree program.
• Bachelor’s degree candidate with an expected graduation date between December 2027 and June 2028.
• Knowledge of Python and foundational data processing technologies.
• Foundational understanding of computer science concepts, including data structures, algorithms, debugging, testing, and problem-solving.
• Understanding of machine learning concepts such as model training, evaluation, feature engineering, and experimentation.
• Experience using modern AI systems such as LLM APIs, prompt-based interactions, retrieval patterns, or generative AI applications.
• Awareness of responsible AI, security, governance, compliance, and reliability considerations.
• Strong communication, collaboration, documentation, and learning agility, with the ability to work effectively in a team environment.
• Employment eligibility to work in the United States; American Express will not pursue visa sponsorship for these positions.

Nice To Haves

• Demonstrated experience through coursework, research, projects, open-source contributions, internships, or extracurricular activities using Python, R, Java, JavaScript, or similar technologies.
• Interest in machine learning, generative AI, natural language processing, intelligent automation, data engineering, agentic AI, or AI-enabled software development.
• Experience building AI-powered applications, copilots, intelligent assistants, agentic workflows, research prototypes, or hackathon solutions using AI/ML technologies.
• Familiarity with NLP techniques and model concepts such as fuzzy matching, embeddings, BERT, transformers, or other modern language models.
• Exposure to prompt engineering, prompt evaluation, tools, function calling, or agent workflow concepts.
• Experience or coursework involving ML algorithms and applying them to practical or real-world problems.
• Familiarity with APIs, data pipelines, ETL processes, cloud environments, or containerized development.
• Awareness of CI/CD, version control, testing, code reviews, and collaborative software engineering workflows.
• Curiosity about AI-powered developer tools, responsible AI practices, governance, security, and enterprise-scale delivery.
• Beneficial experience in one or more areas: AI/machine learning engineering; data engineering for AI; AI-enabled software engineering; generative AI/LLM applications; enterprise AI readiness; or cybersecurity and AI security. Relevant topics include secure software development, application security, identity and access management, data protection, encryption, secure API design, vulnerability awareness, threat modeling, AI security risks, governance controls, and responsible handling of sensitive information.

Responsibilities

• Support development and integration of AI/ML models, LLM integrations, or intelligent services into controlled or production-like systems under guidance.
• Assist with data collection, preprocessing, transformation, and management for model training, testing, validation, and evaluation.
• Contribute to testing, debugging, and improving AI-enabled solutions to strengthen performance, reliability, explainability, and maintainability.
• Support AI capabilities such as model training workflows, inference endpoints, prompt-based interactions, evaluation routines, data retrieval pipelines, AI agents, or agentic workflows.
• Collaborate with engineering, product, data, risk, security, and business partners to implement AI-driven solutions aligned with business requirements.
• Document model parameters, prompts, evaluation assumptions, data pipelines, system integrations, and technical decisions to support reproducibility.
• Participate in Agile practices, including sprint planning, stand-ups, demos, retrospectives, code reviews, and team ceremonies.
• Assist in ensuring AI systems and AI-enabled features align with enterprise expectations for reliability, safety, governance, security, and compliance.
• Build foundational experience across AI-adjacent areas such as APIs, cloud environments, data platforms, CI/CD, containers, model deployment patterns, and monitoring.

Benefits

• Competitive base salaries.
• Flexible work arrangements and schedules, including hybrid and virtual options through Amex Flex.
• Free access to global on-site 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.
• Hands-on engineering experience, manager and mentor support, technical learning, leadership exposure, and a peer community.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern