Cybersecurity AI Engineer, Internship

American Express

. Support the development and integration of AI/ML models, LLM integrations, or intelligent services into controlled or production-like systems under guidance .

Posted 11/3/2026full-timePhoenix • Arizona • United StatesEntry Level💰 $24 - $63 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates foundational knowledge in Python and machine learning concepts, with experience in AI systems and data processing technologies. Capable of collaborating effectively in team environments while adhering to compliance and governance standards.

Highest-signal resume keywords

Python ProgrammingMachine Learning ConceptsAI Systems ExperienceData Processing TechnologiesAgile Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model TrainingData CollectionData PreprocessingDebuggingTestingFeature EngineeringEvaluation RoutinesPrompt-Based InteractionsRetrieval PatternsGenerative AI Applications

Soft Skills

Strong CommunicationCollaborationDocumentationLearning AgilityTeamwork

Tools & Technologies

APIsCloud EnvironmentsData PlatformsCI/CDContainersMonitoring

Industry Keywords

Responsible AISecurityGovernanceComplianceReliability

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

Support the 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 basic model training workflows, inference endpoints, prompt-based interactions, evaluation routines, data retrieval pipelines, AI agents, and agentic workflows
Collaborate with engineering, product, data, risk, security, and business partners to implement AI-driven solutions aligned to 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 reliability, safety, governance, security, and compliance expectations
Build foundational experience with APIs, cloud environments, data platforms, CI/CD, containers, model deployment patterns, and monitoring

Requirements

What you’ll need

Currently enrolled in a full-time bachelor’s degree program
Bachelor’s degree candidates 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 with American Express in the United States; American Express will not pursue visa sponsorship for these positions

Benefits

Comp & perks

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)
Free and confidential counselling support through our Healthy Minds program
Career development and training opportunities
Hands-on engineering experience
Manager and mentor support
Technical learning
Leadership exposure
Strong peer community
Sign-on bonus