Campus Undergraduate Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- New York, NY

American Express
New York
Workplace: HybridFull timeUSD 78,000 - 124,750 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communication","Collaboration","Documentation","Learning agility"]

Support the development, testing, and integration of AI/ML models, LLM integrations, intelligent services, and data retrieval pipelines as part of a full-time graduate program. Help with data collection and preprocessing to enable training and evaluation, debug and improve AI-enabled solutions, and document model parameters, prompts, and pipelines. Collaborate with engineering, product, data, risk, security, and business partners to deliver enterprise AI responsibly, reliably, and securely.

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FursaFursa
American Express
American Express
5 days ago

Campus Undergraduate Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- New York, NY

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Support the development, testing, and integration of AI/ML models, LLM integrations, intelligent services, and data retrieval pipelines as part of a full-time graduate program. Help with data collection and preprocessing to enable training and evaluation, debug and improve AI-enabled solutions, and document model parameters, prompts, and pipelines. Collaborate with engineering, product, data, risk, security, and business partners to deliver enterprise AI responsibly, reliably, and securely.
Location: New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Graduate level

Key Responsibilities

  • •Support the development, testing, and integration of AI/ML models, LLM integrations, intelligent services, or data retrieval pipelines under guidance.
  • •Assist with data collection, preprocessing, transformation, and validation for model training, testing, evaluation, and implementation.
  • •Debug and improve AI-enabled solutions to strengthen performance, reliability, explainability, maintainability, and quality.
  • •Support AI capabilities such as training workflows, inference endpoints, prompt-based interactions, evaluation routines, retrieval patterns, and AI agents.
  • •Collaborate across engineering, product, data, risk, security, and business teams and document model/pipeline details for reproducibility and knowledge sharing.

Pay and Benefits

Salary: USD 78,000 - 124,750 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisability401kParental Leave

Key Requirements

  • •Earn a Bachelor’s degree in a technical field (e.g., Computer Science, Machine Learning, AI, Software Engineering) before June 2027.
  • •Knowledge of Python and foundational data processing technologies.
  • •Foundational computer science concepts including data structures, algorithms, object-oriented programming, debugging, testing, and problem solving.
  • •Foundational understanding of machine learning concepts such as supervised/unsupervised learning, model training, evaluation, feature engineering, and experimentation.
  • •Introductory understanding of modern AI systems including LLM APIs, prompt-based interactions, retrieval patterns, and generative AI applications, with awareness of responsible AI expectations.
Experience:AIMachine learningGenerative AINLPData engineeringOpen source
Education:Bachelor's
Skills:CommunicationCollaborationDocumentationLearning agility
Tech Stack:PythonRJavaJavaScriptGitAgileCI/CDETLLLM APIsPrompt engineeringPrompt evaluationRetrieval patternsEmbeddingsBERTTransformersNatural language processingFunction callingAgentic workflowsModel trainingInference endpoints

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