Campus Undergraduate Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Phoenix, AZ

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

Develop, test, and integrate AI/ML and LLM-powered capabilities for enterprise platforms, including data retrieval pipelines and intelligent services. Help with data collection, preprocessing, transformation, and validation to support model training, evaluation, and implementation. Debug and improve AI-enabled solutions with a focus on reliability, safety, governance, and security, while collaborating across engineering, product, data, risk, and business partners in an Agile environment.

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FursaFursa
American Express
American Express
2 days ago

Campus Undergraduate Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Phoenix, AZ

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Develop, test, and integrate AI/ML and LLM-powered capabilities for enterprise platforms, including data retrieval pipelines and intelligent services. Help with data collection, preprocessing, transformation, and validation to support model training, evaluation, and implementation. Debug and improve AI-enabled solutions with a focus on reliability, safety, governance, and security, while collaborating across engineering, product, data, risk, and business partners in an Agile environment.
Location: Phoenix
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 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, evaluation routines, retrieval patterns, AI agents, and agentic workflows.
  • •Collaborate with engineering, product, data, risk, security, and business partners to implement AI-driven solutions aligned to business requirements.

Pay and Benefits

Salary: USD 78,000 - 124,750 annually
Perks:Health InsuranceDentalVision401kPaid LeaveRemote Work

Key Requirements

  • •Must have earned a Bachelor’s degree in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Computer Engineering, Software Engineering, or another technical field before the full-time start date.
  • •Knowledge of Python and foundational data processing technologies.
  • •Foundational understanding of computer science concepts (data structures, algorithms, OOP, debugging, testing, and problem solving).
  • •Foundational understanding of machine learning concepts (supervised/unsupervised learning, model training/evaluation, feature engineering, experimentation).
  • •Ability to support AI/ML development work such as testing, documentation, integration, or data pipeline activities under guidance.
Experience:Open source
Education:Bachelor's in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Computer Engineering, Software Engineering, or another technical field
Skills:CommunicationCollaborationDocumentationLearning agility
Tech Stack:PythonRJavaJavaScriptLLM APIsPrompt engineeringRetrieval patternsEmbeddingsBERTTransformersGitAPIData pipelinesETLCI/CDContainerizedAgileCode reviews

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