Sr AI Engineer I

American Express
Phoenix, New York
Workplace: HybridFull timeUSD 123,000 - 215,250 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsEducation: bachelorsSkills: ["Ownership","Sound technical judgment","Product mindset","Customer orientation","Comfort operating with ambiguity"]

Build and ship agentic, LLM-powered features that help customers manage their finances using real financial data. Own production systems end to end, including reliability, latency, cost, and failure modes. Architect production-grade RAG pipelines with correctness, auditability, and safety for regulated environments. Contribute to shared AI infrastructure—LLM services, orchestration frameworks, and evaluation/monitoring—to scale agentic development across Amex Technology.

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FursaFursa
American Express
American Express
3 days 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: 2 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build and ship agentic, LLM-powered features that help customers manage their finances using real financial data. Own production systems end to end, including reliability, latency, cost, and failure modes. Architect production-grade RAG pipelines with correctness, auditability, and safety for regulated environments. Contribute to shared AI infrastructure—LLM services, orchestration frameworks, and evaluation/monitoring—to scale agentic development across Amex Technology.
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 for customer-facing finance experiences.
  • •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 deployed systems in production, covering reliability, latency, cost, and failure modes.

Pay and Benefits

Salary: USD 123,000 - 215,250 annually

Key Requirements

  • •6+ years of software engineering experience, including meaningful production experience with LLMs or applied ML systems.
  • •Shipped 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/architectures.
  • •Fluency with AI-assisted and agentic development workflows, with strong ownership and sound technical judgment.
Experience:6+ yearsFintechRegulated industriesLLMAgentic AIOpen source
Education:Bachelor's
Skills:OwnershipSound technical judgmentProduct mindsetCustomer orientationComfort operating with ambiguity
Languages:US
Tech Stack:PythonGoTypeScriptAWSGCPKubernetesRESTGRPCKafkaLLMsAgent orchestrationRetrieval-augmented generationRAGVector storageEvaluationMonitoringSchema validationState managementOpen-source LLMs

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