AI Engineer II

American Express
United States
Workplace: HybridFull timeUSD 89,250 - 150,250 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Problem-solving","Ownership","Accountability","Collaboration"]

Build production-ready AI capabilities for a Case Management platform that supports Dispute and Fraud servicing. You’ll design and deploy scalable LLM and GenAI solutions (including RAG, agentic workflows, and personalization), unify enriched servicing data, and improve monitoring, quality, and governance. Partner with product and engineering teams to take work from problem definition and prototyping through deployment, evaluation, and ongoing improvement in a regulated enterprise environment.

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FursaFursa
American Express
American Express
3 days ago

AI Engineer II

✓ 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

Build production-ready AI capabilities for a Case Management platform that supports Dispute and Fraud servicing. You’ll design and deploy scalable LLM and GenAI solutions (including RAG, agentic workflows, and personalization), unify enriched servicing data, and improve monitoring, quality, and governance. Partner with product and engineering teams to take work from problem definition and prototyping through deployment, evaluation, and ongoing improvement in a regulated enterprise environment.
Location: United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and build scalable AI and agentic systems to improve dispute and fraud servicing and customer engagement.
  • •Build intelligent workflows using context and enterprise data to support decisions in dispute and fraud servicing.
  • •Design and deliver production-ready AI solutions, including LLM apps, RAG systems, and personalization features with high accuracy, reliability, and auditability.
  • •Improve operations with AI-based monitoring, quality checks, and governance through automation and analytics.
  • •Own end-to-end delivery from problem definition and prototyping to deployment, monitoring, and ongoing improvement, ensuring security and responsible AI standards.

Pay and Benefits

Salary: USD 89,250 - 150,250 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisability Benefits401kPaid LeaveLearning Budget

Key Requirements

  • •5+ years of experience in software engineering, machine learning, or applied AI, including building production systems.
  • •Experience with agentic AI systems, including orchestration, tools, memory/state management, and evaluation.
  • •Experience with RAG, vector databases, and the full LLM lifecycle including prompting, fine-tuning, evaluation, and monitoring.
  • •Strong Python skills building backend services, APIs, and data pipelines.
  • •Experience with modern AI/ML frameworks and strong cloud experience (including GCP services such as BigQuery, Composer/Airflow, and DataProc).
Experience:Financial services
Education:Bachelor's
Skills:Problem-solvingOwnershipAccountabilityCollaboration
Tech Stack:PythonLLMsGenAIMachine learningRAGVector databasesLangChainLangGraphPyTorchTensorFlowScikit-learnGoogle Cloud Platform (GCP)BigQueryComposer (Airflow)DataProcAPIsDistributed systemsEvent-driven architectureDockerKubernetes

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