Senior AI Engineer I

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

Build production-grade agentic AI systems for real financial data and real customers, turning ambiguous problems into reliable capabilities that meet regulatory requirements. Work end to end across customer-facing LLM features, agentic workflows that automate financial tasks, and internal AI capabilities. Design, build, and ship LLM/agentic products, architect RAG pipelines with safety and auditability, contribute to shared AI infrastructure, and own reliability, latency, and cost.

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FursaFursa
American Express
American Express
2 months ago

Senior 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: 31 minutes agoStatus: Live

Job Summary

Build production-grade agentic AI systems for real financial data and real customers, turning ambiguous problems into reliable capabilities that meet regulatory requirements. Work end to end across customer-facing LLM features, agentic workflows that automate financial tasks, and internal AI capabilities. Design, build, and ship LLM/agentic products, architect RAG pipelines with safety and auditability, contribute to shared AI infrastructure, and own reliability, latency, and cost.
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 and monitoring tooling.
  • •Own the systems built in production, including reliability, latency, cost, and failure modes.

Pay and Benefits

Salary: USD 123,000 - 215,250 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisability Benefits401k

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+ yearsFintechRegulated industriesFinancial servicesLLMsAgentic AI
Education:Bachelor's
Skills:OwnershipTechnical judgmentProduct mindsetCustomer orientationOperating with autonomy
Tech Stack:PythonGoTypeScriptAWSGCPKubernetesRESTGRPCKafkaLLMsRAGVector storageEvaluationMonitoringAgent orchestration frameworks

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