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

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

Join a 10-week Summer Internship Program as an AI Engineer intern in Enterprise Technology Services. Support the development and integration of AI/ML models and LLM-powered capabilities into controlled, production-like systems, including data pipelines, inference endpoints, prompt-based workflows, and AI agents. Collaborate with engineering, product, data, risk, security, and business partners using Agile practices while learning to deliver AI responsibly, securely, and reliably at enterprise scale.

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FursaFursa
American Express
American Express
3 days ago

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

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Last checked: 3 hours agoStatus: Live

Job Summary

Join a 10-week Summer Internship Program as an AI Engineer intern in Enterprise Technology Services. Support the development and integration of AI/ML models and LLM-powered capabilities into controlled, production-like systems, including data pipelines, inference endpoints, prompt-based workflows, and AI agents. Collaborate with engineering, product, data, risk, security, and business partners using Agile practices while learning to deliver AI responsibly, securely, and reliably at enterprise scale.
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 including basic model training workflows, inference endpoints, prompt-based interactions, evaluation routines, data retrieval pipelines, and AI agents.
  • •Collaborate with engineering, product, data, risk, security, and business partners and document technical decisions, prompts, evaluation assumptions, and system integrations; participate in Agile practices.

Pay and Benefits

Salary: USD 24.05 - 63 hourly

Key Requirements

  • •Currently enrolled in a full-time Master's degree program, with an expected graduation date between December 2027 and June 2028.
  • •Knowledge of Python and foundational data processing technologies.
  • •Foundational computer science understanding, 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, with awareness of responsible AI, security, governance, compliance, and reliability.
Education:Master's
Skills:CommunicationCollaborationDocumentationLearning agility
Tech Stack:PythonRJavaJavaScriptSQLMachine learningModel trainingModel evaluationFeature engineeringExperimentationLLM APIsPrompt engineeringRetrieval patternsGenerative AINLPEmbeddingsBERTTransformersRetrieval-augmented generationAI agents

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