Sr AI Engineer II - Agentic AI

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

Build production-grade agentic AI systems that power customer-facing, LLM-powered features and automate financial workflows using real financial data. Own end-to-end delivery—from partnering with product/design to shipping and monitoring—covering RAG pipelines, tool-using agents, reliability, latency, cost, and failure modes. Contribute to shared AI infrastructure (LLM services, orchestration frameworks, evaluation/monitoring) in an enterprise, regulated environment.

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FursaFursa
American Express
American Express
4 days ago

Sr AI Engineer II - Agentic AI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Build production-grade agentic AI systems that power customer-facing, LLM-powered features and automate financial workflows using real financial data. Own end-to-end delivery—from partnering with product/design to shipping and monitoring—covering RAG pipelines, tool-using agents, reliability, latency, cost, and failure modes. Contribute to shared AI infrastructure (LLM services, orchestration frameworks, evaluation/monitoring) in an enterprise, 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 help customers manage their finances.
  • •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 production systems post-launch, including reliability, latency, cost, and failure modes.

Pay and Benefits

Salary: USD 123,000 - 215,250 annually

Key Requirements

  • •8+ years of software engineering experience with production experience in LLMs or applied ML systems.
  • •Shipped AI-powered or agentic systems used by real users.
  • •Strong backend systems, API, data pipeline, and cloud infrastructure fundamentals.
  • •Hands-on experience with modern LLM tooling and agentic patterns/architectures.
  • •Fluency with AI-assisted and agentic development workflows; strong ownership and sound technical judgment.
Experience:AIFintechRegulated industries
Skills:OwnershipSound technical judgmentProduct mindsetCustomer orientationComfort with ambiguity
Languages:US
Tech Stack:PythonGoTypeScriptAWSGCPKubernetesRESTGRPCKafkaLLMsRAGVector storageSchema validationState managementEvent-driven architectures

Eligibility

Work Authorization:Sponsorship available.

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