Campus Undergraduate Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Sunrise, FL

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

Join a full-time graduate program and help develop, test, and integrate AI/ML and LLM-enabled solutions. You’ll support data collection, preprocessing, transformation, and validation for model training and evaluation, assist with debugging AI-enabled systems, and contribute to retrieval patterns, prompt-based workflows, and inference endpoints. Work with engineering, product, data, security, risk, and business partners to deliver responsible, reliable, and secure enterprise AI capabilities.

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FursaFursa
American Express
American Express
5 days ago

Campus Undergraduate Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Sunrise, FL

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

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

Job Summary

Join a full-time graduate program and help develop, test, and integrate AI/ML and LLM-enabled solutions. You’ll support data collection, preprocessing, transformation, and validation for model training and evaluation, assist with debugging AI-enabled systems, and contribute to retrieval patterns, prompt-based workflows, and inference endpoints. Work with engineering, product, data, security, risk, and business partners to deliver responsible, reliable, and secure enterprise AI capabilities.
Location: Florida
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Entry 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 to support 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 agentic workflows.
  • •Collaborate with engineering, product, data, risk, security, and business partners to implement AI-driven solutions aligned to enterprise requirements and responsible AI expectations.

Pay and Benefits

Salary: USD 78,000 - 124,750 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisability Benefits401kPaid Parental

Key Requirements

  • •Must have earned a Bachelor’s degree in a technical field (e.g., Computer Science, Machine Learning, Data Science, AI, Software Engineering) by June 2027.
  • •Knowledge of Python and foundational data processing technologies.
  • •Foundational understanding of computer science concepts (data structures, algorithms, OOP, debugging, testing, problem solving).
  • •Foundational understanding of machine learning concepts (supervised/unsupervised learning, training, evaluation, feature engineering, experimentation).
  • •Introductory understanding of modern AI systems, including LLM APIs, prompt-based interactions, retrieval patterns, and responsible AI expectations.
Education:Bachelor's
Skills:CommunicationCollaborationDocumentationLearning agilityProblem solving
Tech Stack:PythonRJavaJavaScriptLLM APIsPrompt engineeringPrompt evaluationRetrieval patternsBERTTransformersLLMsEmbeddingsNLPETLData pipelinesGitAgileCI/CDContainerized developmentModel deployment

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