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

Join a full-time graduate program supporting the development, testing, and integration of AI/ML models and LLM-based intelligent services. You’ll help with data collection and preprocessing for training and evaluation, debug and improve AI-enabled solutions for reliability and explainability, and document technical decisions. Working in Agile with engineering, product, data, risk, security, and business partners, you’ll contribute to responsibly scaled enterprise AI capabilities.

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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- Atlanta, GA

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Join a full-time graduate program supporting the development, testing, and integration of AI/ML models and LLM-based intelligent services. You’ll help with data collection and preprocessing for training and evaluation, debug and improve AI-enabled solutions for reliability and explainability, and document technical decisions. Working in Agile with engineering, product, data, risk, security, and business partners, you’ll contribute to responsibly scaled enterprise AI capabilities.
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 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 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 InsuranceDisability401kPaid LeaveRemote Work

Key Requirements

  • •Earned a Master’s degree in a technical field (Computer Science, Machine Learning, Data Science, AI, Computer Engineering, Software Engineering, or related) by the full-time start date.
  • •Knowledge of Python and foundational data processing technologies.
  • •Understanding of computer science fundamentals including data structures, algorithms, OOP, debugging, testing, and problem solving.
  • •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:Master's in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Computer Engineering, Software Engineering, or another technical field
Skills:CommunicationCollaborationDocumentationLearning agilityProblem solving
Tech Stack:PythonLLM APIsPrompt engineeringPrompt evaluationRetrieval patternsGenerative AINLPEmbeddingsBERTTransformersETLData pipelinesCI/CDVersion controlGitAgileModel evaluationFeature engineering

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