Campus Undergraduate Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Atlanta, GA

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

Support the development, testing, and integration of AI/ML models and LLM-based solutions, including data retrieval and retrieval-pattern workflows. Help with data collection, preprocessing, transformation, validation, and debugging to improve reliability, explainability, and quality. Collaborate with engineering, product, data, security, risk, and business partners to deliver enterprise AI capabilities responsibly, securely, and in line with governance and safety expectations.

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FursaFursa
American Express
American Express
2 days ago

Campus Undergraduate Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Atlanta, GA

✓ 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

Support the development, testing, and integration of AI/ML models and LLM-based solutions, including data retrieval and retrieval-pattern workflows. Help with data collection, preprocessing, transformation, validation, and debugging to improve reliability, explainability, and quality. Collaborate with engineering, product, data, security, risk, and business partners to deliver enterprise AI capabilities responsibly, securely, and in line with governance and safety expectations.
Location: Atlanta
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 training, testing, evaluation, and implementation.
  • •Contribute to debugging and improving AI-enabled solutions to strengthen performance, reliability, explainability, maintainability, and quality.
  • •Support AI capabilities such as model training workflows, inference endpoints, prompt-based interactions, evaluation routines, retrieval patterns, and AI/agent workflows.
  • •Document model parameters, prompts, assumptions, data pipelines, integrations, and technical decisions, and participate in Agile development activities.

Pay and Benefits

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

Key Requirements

  • •Must have earned a Bachelor’s degree in a technical field (Computer Science, Machine Learning, Data Science, Artificial Intelligence, Computer Engineering, Software Engineering, or similar) before the full-time start date.
  • •Knowledge of Python and foundational data processing technologies.
  • •Strong foundation in computer science concepts (data structures, algorithms, OOP, debugging, testing).
  • •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, and retrieval patterns.
Experience:Open-sourceInternshipsAIMachine learning
Education:Bachelor's
Skills:CommunicationCollaborationDocumentationLearning agilityProblem-solving
Tech Stack:PythonRJavaJavaScriptLLM APIsPrompt engineeringRetrieval patternsEmbeddingsBERTTransformersFuzzy matchingNatural language processingAI agentsAgentic workflowsData pipelinesETLCloud environmentsContainerized developmentGitCI/CD

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