Campus Graduate Masters 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: mastersSkills: ["Communication","Collaboration","Documentation","Learning agility"]

Build and support AI/ML and LLM-enabled solutions under guidance, including developing, testing, and integrating models, inference capabilities, and retrieval/data pipelines. Help with data collection, preprocessing, transformation, validation, and debugging to improve reliability, performance, explainability, maintainability, and quality. Collaborate across engineering, product, data, risk, security, and business teams while documenting technical decisions and working in Agile development workflows.

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FursaFursa
American Express
American Express
1 week ago

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

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Build and support AI/ML and LLM-enabled solutions under guidance, including developing, testing, and integrating models, inference capabilities, and retrieval/data pipelines. Help with data collection, preprocessing, transformation, validation, and debugging to improve reliability, performance, explainability, maintainability, and quality. Collaborate across engineering, product, data, risk, security, and business teams while documenting technical decisions and working in Agile development workflows.
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 including model training workflows, inference endpoints, prompt-based interactions, evaluation routines, retrieval patterns, and AI agent workflows.
  • •Collaborate with engineering, product, data, risk, security, and business partners; document parameters, prompts, assumptions, and technical decisions; work in Agile ceremonies including code reviews.

Pay and Benefits

Salary: USD 78,000 - 124,750 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisability401kPaid LeaveParental Leave

Key Requirements

  • •Earned a Master’s degree in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Computer Engineering, Software Engineering, or a related technical field before June 2027.
  • •Knowledge of Python and foundational data processing technologies.
  • •Foundational understanding of computer science concepts including data structures, algorithms, OOP, debugging, testing, and problem solving.
  • •Foundational understanding of machine learning including supervised/unsupervised learning, model training and evaluation, feature engineering, and experimentation.
  • •Introductory understanding of modern AI systems such as LLM APIs, prompt-based interactions, retrieval patterns, and generative AI applications.
Education:Master's
Skills:CommunicationCollaborationDocumentationLearning agility
Tech Stack:PythonRJavaJavaScriptLLM APIsPrompt engineeringPrompt evaluationRetrieval patternsEmbeddingsBERTTransformersNLPGitAgileCI/CDETLCloudContainersModel deploymentMonitoring

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