Sr AI Engineer II-Global Risk & Compliance Technology

American Express
Phoenix
Workplace: OnsiteFull timeUSD 123,000 - 215,250 annuallyFunction: Data Science & Machine LearningSkills: ["Ownership","Technical judgment","Customer orientation","Collaboration","Sound judgment"]

Build and ship production-grade, LLM-powered and agentic features that help customers manage their finances, grounded in real financial data and regulatory requirements. Design agentic systems that reason over context, invoke tools, and recover gracefully from failures, including architecting RAG pipelines and shared AI infrastructure (LLM services, orchestration, evaluation/monitoring). Own reliability, latency, cost, and safety while partnering with product and design to deliver customer outcomes.

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FursaFursa
American Express
American Express
22 hours ago

Sr AI Engineer II-Global Risk & Compliance Technology

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build and ship production-grade, LLM-powered and agentic features that help customers manage their finances, grounded in real financial data and regulatory requirements. Design agentic systems that reason over context, invoke tools, and recover gracefully from failures, including architecting RAG pipelines and shared AI infrastructure (LLM services, orchestration, evaluation/monitoring). Own reliability, latency, cost, and safety while partnering with product and design to deliver customer outcomes.
Location: Phoenix
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, and ship LLM-powered and agentic product features for customer financial management.
  • •Build agentic AI systems that reason over context, invoke tools, take actions, and recover gracefully from failure.
  • •Architect and implement production-grade RAG pipelines over sensitive financial data with correctness, auditability, and safety requirements.
  • •Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and evaluation/monitoring tooling.
  • •Own systems in production, including reliability, latency, cost, and failure modes, while partnering with product and design.

Pay and Benefits

Salary: USD 123,000 - 215,250 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisability Benefits401kPaid Parental

Key Requirements

  • •5+ years of software engineering experience with meaningful production experience with LLMs or applied ML systems.
  • •A track record of shipping AI-powered or agentic systems that real users depend on.
  • •Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
  • •Hands-on experience with modern LLM tooling and agentic patterns and architectures.
  • •Comfort operating with ambiguity and turning it into shipped, reliable product.
Experience:FintechRegulated industriesOpen source
Skills:OwnershipTechnical judgmentCustomer orientationCollaborationSound judgment
Tech Stack:PythonGoTypeScriptAWSGCPKubernetesRESTGRPCKafkaLLMsAgentic AIRAGRetrieval-augmented generationVector storageSchema validationEvaluationMonitoringState management

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