Campus Graduate Masters Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- New York, NY

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

Build and integrate AI/ML models and LLM-powered capabilities into controlled, production-like enterprise systems as part of a 10-week summer internship. You’ll support data preparation for training and evaluation, debug and test AI-enabled features for reliability and explainability, and implement capabilities like prompt-based workflows, retrieval patterns, and agentic systems. Collaborate across engineering, product, data, security, risk, and business partners while documenting technical decisions and learning Agile delivery.

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FursaFursa
American Express
American Express
3 days ago

Campus Graduate Masters Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- New York, NY

✓ Verified Job

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

Job Summary

Build and integrate AI/ML models and LLM-powered capabilities into controlled, production-like enterprise systems as part of a 10-week summer internship. You’ll support data preparation for training and evaluation, debug and test AI-enabled features for reliability and explainability, and implement capabilities like prompt-based workflows, retrieval patterns, and agentic systems. Collaborate across engineering, product, data, security, risk, and business partners while documenting technical decisions and learning Agile delivery.
Location: New York
Workplace: Hybrid
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key 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 to enable training, testing, validation, and evaluation.
  • •Contribute to testing, debugging, and improving AI-enabled solutions for performance, reliability, explainability, and maintainability.
  • •Support AI capabilities such as prompt-based interactions, inference endpoints, 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 and document models, prompts, and technical decisions.

Pay and Benefits

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

Key Requirements

  • •Currently enrolled in a full-time graduate master’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.
Experience:AIMachine learningGenerative AILLMEnterprise technology
Education:Master's
Skills:CommunicationCollaborationDocumentationLearning agilityProblem-solving
Languages:English
Tech Stack:PythonRJavaJavaScriptLLM APIsPrompt engineeringRetrieval patternsGenerative AINLPEmbeddingsBERTTransformersMicroservicesAPIsSQLETLData pipelinesCloud-nativeAgileCI/CD

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