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

American Express
Phoenix
Workplace: HybridInternshipUSD 24.05 - 63 hourlyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communication","Collaboration","Documentation","Learning agility","Teamwork"]

Join a 10-week summer internship building AI-enabled solutions for enterprise systems. You’ll support development and integration of AI/ML models and LLM features into controlled or production-like environments, help prepare data for training and evaluation, and improve reliability through testing and debugging. Work with engineering, product, data, risk, security, and business partners, practice Agile delivery, and document decisions to help responsibly scale AI at American Express.

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FursaFursa
American Express
American Express
3 days ago

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

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Join a 10-week summer internship building AI-enabled solutions for enterprise systems. You’ll support development and integration of AI/ML models and LLM features into controlled or production-like environments, help prepare data for training and evaluation, and improve reliability through testing and debugging. Work with engineering, product, data, risk, security, and business partners, practice Agile delivery, and document decisions to help responsibly scale AI at American Express.
Location: Phoenix
Workplace: Hybrid
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •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 to enable 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 basic model training workflows, inference endpoints, prompt-based interactions, evaluation routines, and data retrieval pipelines.
  • •Collaborate with engineering, product, data, risk, security, and business partners; document model parameters, prompts, evaluation assumptions, and technical decisions in an Agile environment.

Pay and Benefits

Salary: USD 24.05 - 63 hourly
Perks:Wellness StipendCounseling Support

Key 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 including 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.
Education:Bachelor's
Skills:CommunicationCollaborationDocumentationLearning agilityTeamwork
Tech Stack:PythonRJavaJavaScriptLLM APIsPrompt engineeringRetrieval patternsSQLETLMicroservicesCI/CDContainersBERTTransformersAgile

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

American Express
Provides global payment, credit, and travel-related financial services for consumers and businesses. Best known for its charge and credit cards, merchant payment network, and premium customer rewards and servicing.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York City, United States
Founded: 1850
WebsiteLinkedIn