American Express

1 month ago

Senior AI Engineer I - Agentic AI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Build and ship production-grade agentic AI systems and LLM-powered product features using real financial data. You’ll design end-to-end solutions with product and design partners, architect RAG pipelines with correctness/auditability/safety requirements, and contribute to shared AI infrastructure for orchestration, evaluation, and monitoring. Own reliability, latency, cost, and failure modes in a regulated financial services environment.

Location: New York, Phoenix, Palo Alto, Charlotte

Workplace: Remote

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.
•Develop agentic AI systems that reason over context, invoke tools, take actions, and recover gracefully from failures.
•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, including reliability, latency, cost, and failure modes.

Pay and Benefits

Salary: USD 123,000 - 215,250 annually

Perks:Health InsuranceDentalVisionLife InsuranceDisability BenefitsPaid ParentalFinancial CoachingCounseling Support

Key Requirements

•5+ years of software engineering experience with meaningful production experience using LLMs or applied ML systems.
•Ship AI-powered or agentic systems that real users depend on.
•Strong backend fundamentals across APIs and services, data pipelines, and cloud infrastructure.
•Hands-on experience with modern LLM tooling and agentic patterns and architectures.
•Ability to operate with autonomy in ambiguous problems and deliver reliable products.

Experience:LLMsAgentic AIFinancial servicesFintechOpen source

Skills:OwnershipSound judgmentComfort with ambiguityProduct mindsetCustomer orientation

Languages:English

Tech Stack:PythonGoTypeScriptAWSGCPKubernetesRESTGRPCKafkaLLMsAgent orchestrationRetrieval-augmented generationRAGVector storageEvaluationMonitoringSchema validationState managementAPICloud infrastructure

Company Brief

American Express

Industry: Payments

Website

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American Express

1 month ago

Senior AI Engineer I - Agentic AI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: New York, Phoenix, Palo Alto, Charlotte

Workplace: Remote

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.
•Develop agentic AI systems that reason over context, invoke tools, take actions, and recover gracefully from failures.
•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, including reliability, latency, cost, and failure modes.

Pay and Benefits

Salary: USD 123,000 - 215,250 annually

Perks:Health InsuranceDentalVisionLife InsuranceDisability BenefitsPaid ParentalFinancial CoachingCounseling Support

Key Requirements

•5+ years of software engineering experience with meaningful production experience using LLMs or applied ML systems.
•Ship AI-powered or agentic systems that real users depend on.
•Strong backend fundamentals across APIs and services, data pipelines, and cloud infrastructure.
•Hands-on experience with modern LLM tooling and agentic patterns and architectures.
•Ability to operate with autonomy in ambiguous problems and deliver reliable products.

Experience:LLMsAgentic AIFinancial servicesFintechOpen source

Skills:OwnershipSound judgmentComfort with ambiguityProduct mindsetCustomer orientation

Languages:English

Company Brief

American Express

Industry: Payments

Website