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

Support the development, testing, and integration of AI/ML models, LLM integrations, intelligent services, and data retrieval pipelines under guidance. Help with data collection, preprocessing, transformation, and validation to enable model training and evaluation. Debug and improve AI-enabled solutions to strengthen reliability, explainability, maintainability, and quality. Collaborate with engineering, product, data, risk, security, and business partners, while documenting work and participating in Agile delivery.

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FursaFursa
American Express
American Express
2 days ago

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

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Support the development, testing, and integration of AI/ML models, LLM integrations, intelligent services, and data retrieval pipelines under guidance. Help with data collection, preprocessing, transformation, and validation to enable model training and evaluation. Debug and improve AI-enabled solutions to strengthen reliability, explainability, maintainability, and quality. Collaborate with engineering, product, data, risk, security, and business partners, while documenting work and participating in Agile delivery.
Location: Phoenix
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Entry level

Key Responsibilities

  • •Support development, testing, and integration of AI/ML models, LLM integrations, intelligent services, and data retrieval pipelines under guidance.
  • •Assist with data collection, preprocessing, transformation, and validation for training, testing, evaluation, and implementation.
  • •Debug and improve AI-enabled solutions to strengthen performance, reliability, explainability, maintainability, and quality.
  • •Support AI capabilities including training workflows, inference endpoints, prompt-based interactions, evaluation routines, retrieval patterns, and AI/agent workflows.
  • •Collaborate across engineering, product, data, risk, security, and business partners; document technical decisions and participate in Agile development practices.

Pay and Benefits

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

Key Requirements

  • •Earn a Master’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 computer science concepts (data structures, algorithms, object-oriented programming, debugging, testing, and problem solving).
  • •Foundational machine learning concepts (supervised/unsupervised learning, training, evaluation, feature engineering, experimentation).
  • •Awareness of responsible AI expectations (reliability, safety, governance, security, privacy, compliance, and escalation when unclear).
Education:Master's in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Computer Engineering, Software Engineering, or another technical field
Skills:CommunicationCollaborationDocumentationLearning agilityDebugging
Languages:USEnglish
Tech Stack:PythonRJavaJavaScriptLLM APIsPrompt engineeringPrompt evaluationRetrieval patternsEmbeddingsBERTTransformersNLPFuzzy matchingETLData pipelinesGitCI/CDAgileContainersModel 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