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

American Express • Phoenix, AZ

4d

About The Position

The Cybersecurity AI Engineer Intern joins American Express Enterprise Technology Services for a 10-week summer internship. The organization supports the company’s technology engineering, architecture, infrastructure, enterprise platforms, data governance, information security, and AI capabilities. Interns contribute to real-world technology projects and learn how AI-enabled solutions are designed, developed, tested, integrated, 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, and AI-enabled software features. Working with engineering, product, data, security, risk, and business partners, the intern helps build and assess solutions while learning how to address enterprise expectations for reliability, safety, governance, security, compliance, and responsible AI. Team alignment may include backend, frontend, cloud, mobile, AI/machine learning, data-oriented engineering, or full-stack product development.

Requirements

• Currently enrolled in a full-time bachelor’s degree program, 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.
• 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 models 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.
• Experience or knowledge in AI/ML engineering, data engineering for AI, AI-enabled software engineering, generative AI/LLM applications, enterprise AI readiness, or cybersecurity and AI security.
• Cybersecurity and AI security familiarity, including secure software development, application security, identity and access management, data protection, encryption, secure API design, vulnerability awareness, threat modeling, AI security risks, governance controls, compliance, 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 aligning AI systems and AI-enabled features with enterprise expectations for reliability, safety, governance, security, and compliance.
• Build foundational experience with AI-adjacent areas such as APIs, cloud environments, data platforms, CI/CD, containers, model deployment patterns, and monitoring.

Benefits

• Hands-on engineering experience
• Manager and mentor support
• Technical learning
• Leadership exposure
• Peer community
• Mentorship, feedback, peer learning, technical curriculum, and Early Careers programming

What This Job Offers

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