Campus Graduate Masters Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Palo Alto, CA

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

Join the Enterprise Technology Services graduate program to support the development, testing, and integration of AI/ML and LLM-enabled solutions, including data retrieval pipelines. You’ll help collect and transform data for model training and evaluation, assist with debugging for reliability and explainability, and collaborate with engineering, product, data, risk, security, and business partners to deliver responsible enterprise AI.

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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- Palo Alto, CA

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Join the Enterprise Technology Services graduate program to support the development, testing, and integration of AI/ML and LLM-enabled solutions, including data retrieval pipelines. You’ll help collect and transform data for model training and evaluation, assist with debugging for reliability and explainability, and collaborate with engineering, product, data, risk, security, and business partners to deliver responsible enterprise AI.
Location: Palo Alto
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, or data retrieval pipelines under guidance.
  • •Assist with data collection, preprocessing, transformation, and validation to support model training, testing, evaluation, and implementation.
  • •Contribute to debugging and improving AI-enabled solutions for performance, reliability, explainability, maintainability, and quality.
  • •Support AI capabilities such as model training workflows, inference endpoints, prompt-based interactions, evaluation routines, retrieval patterns, and agentic workflows.
  • •Document model parameters, prompts, assumptions, data pipelines, integrations, and technical decisions; participate in Agile development practices including code reviews and team ceremonies.

Pay and Benefits

Salary: USD 78,000 - 124,750 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisability401kPaid 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.
  • •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 concepts (supervised/unsupervised learning, model training/evaluation, feature engineering, experimentation).
  • •Introductory understanding of modern AI systems including LLM APIs, prompt-based interactions, retrieval patterns, AI tools, or generative AI applications.
Education:Master's
Skills:CommunicationCollaborationDocumentationLearning agilityProblem solving
Languages:US
Tech Stack:PythonRJavaJavaScriptLLM APIsPrompt engineeringPrompt evaluationRetrieval patternsBERTTransformersNatural language processingETLData pipelinesCI/CDVersion controlAgileGitData preprocessingFeature engineeringContainerized development

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