Sr AI Engineer I

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

Design, build, and ship LLM-powered, agentic features for how customers manage their finances. Build agentic systems that reason over context, invoke tools, take real actions, and recover gracefully, while implementing production-grade RAG pipelines over sensitive financial data. Contribute to shared AI infrastructure, own reliability/performance/cost in production, and partner with product and design in a regulated, enterprise-scale environment.

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FursaFursa
American Express
American Express
1 day ago

Sr AI Engineer I

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Design, build, and ship LLM-powered, agentic features for how customers manage their finances. Build agentic systems that reason over context, invoke tools, take real actions, and recover gracefully, while implementing production-grade RAG pipelines over sensitive financial data. Contribute to shared AI infrastructure, own reliability/performance/cost in production, and partner with product and design in a regulated, enterprise-scale environment.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design 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.
  • •Own production systems end to end, focusing on reliability, latency, cost, and failure modes.

Pay and Benefits

Salary: USD 123,000 - 215,250 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisability InsuranceRetirement SavingsParental LeaveRemote WorkLearning Budget

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 and a strong sense of ownership with sound technical judgment.
Experience:5+ yearsFintechRegulated industries
Skills:OwnershipTechnical judgmentCustomer orientationComfort with ambiguityProduct mindset
Tech Stack:PythonGoTypeScriptAWSGCPKubernetesRESTGRPCKafkaRAGLLMsAgent orchestration frameworksVector storageEvaluation and monitoring tooling

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