Sr AI Engineer II - Agentic AI

American Express
Phoenix, New York
Workplace: HybridFull timeUSD 123,000 - 215,250 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsSkills: ["Ownership","Sound technical judgment","Product mindset","Customer orientation","Comfort with ambiguity"]

Build and ship production-grade agentic and LLM-powered features for American Express customers, turning ambiguous problems into reliable systems on real financial data. You’ll design and implement RAG pipelines, create agent systems that reason, invoke tools, and recover from failure, and contribute to shared AI infrastructure for orchestration and evaluation at enterprise scale. Partner with product and design, then own reliability, latency, cost, and auditability after launch.

Loading

Loading job details...

Preparing the role view and application actions.

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: 4 hours agoStatus: Live
Reposted: similar role first listed 1 week ago

Job Summary

Build and ship production-grade agentic and LLM-powered features for American Express customers, turning ambiguous problems into reliable systems on real financial data. You’ll design and implement RAG pipelines, create agent systems that reason, invoke tools, and recover from failure, and contribute to shared AI infrastructure for orchestration and evaluation at enterprise scale. Partner with product and design, then own reliability, latency, cost, and auditability after launch.
Location: Phoenix, New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead development of LLM-powered and agentic product features for customer finance management.
  • •Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully.
  • •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, including reliability, latency, cost, and failure modes.

Pay and Benefits

Salary: USD 123,000 - 215,250 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisability Insurance401kPaid Leave

Key Requirements

  • •8+ years of software engineering experience with meaningful production experience with LLMs or applied ML systems.
  • •Ship 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.
  • •Strong product mindset and customer orientation with sound technical judgment in ambiguous environments.
Experience:8+ years
Skills:OwnershipSound technical judgmentProduct mindsetCustomer orientationComfort with ambiguity
Tech Stack:PythonGoTypeScriptAWSGCPKubernetesRESTGRPCKafkaLLMsRAGRetrieval-augmented generationVector storageEvaluationMonitoringSchema validationReactKotlinCircleCIIOS

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