Sr AI Engineer I

American Express
Phoenix, New York
Workplace: HybridFull timeUSD 123,000 - 215,250 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Ownership","Technical judgment","Product mindset","Customer orientation","Comfort with ambiguity"]

Build and ship LLM-powered, agentic product features that help customers manage their finances. You’ll design, implement, and operate production-grade systems, including agentic workflows that reason over context, invoke tools, recover from failures, and RAG pipelines over sensitive financial data. Partner with product and design teams, contribute to shared AI infrastructure (LLM services, orchestration, evaluation/monitoring), and own reliability, latency, cost, and safety in a regulated environment.

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FursaFursa
American Express
American Express
2 months ago

Sr AI Engineer I

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Build and ship LLM-powered, agentic product features that help customers manage their finances. You’ll design, implement, and operate production-grade systems, including agentic workflows that reason over context, invoke tools, recover from failures, and RAG pipelines over sensitive financial data. Partner with product and design teams, contribute to shared AI infrastructure (LLM services, orchestration, evaluation/monitoring), and own reliability, latency, cost, and safety in a regulated environment.
Location: Phoenix, New York
Workplace: Hybrid
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 that change how customers manage their finances.
  • •Build agentic AI systems that reason over context, invoke tools, take real 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 that scales agentic development across Amex Technology.
  • •Own the systems you build in production, including reliability, latency, cost, and failure modes.

Pay and Benefits

Salary: USD 123,000 - 215,250 annually

Key Requirements

  • •5+ years of software engineering experience, including 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.
  • •Fluency with AI-assisted and agentic development workflows.
Experience:5+ years
Skills:OwnershipTechnical judgmentProduct mindsetCustomer orientationComfort with ambiguity
Tech Stack:PythonGoTypeScriptAWSGCPKubernetesRESTGRPCKafkaRAGLLMsAgentic AIVector storageEvaluation monitoring

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