Campus Undergraduate 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: bachelorsSkills: ["Communication","Collaboration","Documentation","Learning agility"]

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 training and evaluation. Contribute to debugging and improving AI-enabled solutions for performance, reliability, and maintainability, while collaborating across engineering, product, data, risk, security, 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- Palo Alto, CA

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 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 training and evaluation. Contribute to debugging and improving AI-enabled solutions for performance, reliability, and maintainability, while collaborating across engineering, product, data, risk, security, and business partners in an Agile environment.
Location: Palo Alto
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.
  • •Contribute to debugging and improving 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 agents.
  • •Collaborate with engineering, product, data, risk, security, and business partners and participate in Agile practices such as sprint planning, demos, and code reviews.

Pay and Benefits

Salary: USD 78,000 - 124,750 annually
Perks:401kHealth InsuranceDentalVisionLife InsuranceDisabilityParental Leave

Key Requirements

  • •Earn 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 including data structures, algorithms, OOP, debugging, testing, and problem solving.
  • •Foundational understanding of machine learning concepts including supervised/unsupervised learning, model training, evaluation, feature engineering, and experimentation.
  • •Introductory understanding of modern AI systems, including LLM APIs, prompt-based interactions, retrieval patterns, and generative AI applications.
Education:Bachelor's
Skills:CommunicationCollaborationDocumentationLearning agility
Languages:US
Tech Stack:PythonJavaRJavaScriptLLM APIsPrompt engineeringRetrieval patternsBERTTransformersGitAPIsETLCI/CDAgile

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