Sr AI Engineer I - Global Commercial Services

American Express
United States
Workplace: RemoteFull timeUSD 123,000 - 215,250 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsEducation: high_schoolSkills: ["Problem-solving","Collaboration","Communication","Mentorship","Learning mindset"]

Build and operate production-grade agentic AI applications and services. Work on shared agentic AI capabilities including agent frameworks and orchestration, planning/tool use/memory strategies, RAG pipelines, and LLM integration and inference. Partner with senior engineers and cross-functional teams to design scalable distributed systems, improve reliability and safety, and evaluate emerging AI technologies while mentoring engineers and contributing through design reviews and code reviews.

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FursaFursa
American Express
American Express
1 day ago

Sr AI Engineer I - Global Commercial Services

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Build and operate production-grade agentic AI applications and services. Work on shared agentic AI capabilities including agent frameworks and orchestration, planning/tool use/memory strategies, RAG pipelines, and LLM integration and inference. Partner with senior engineers and cross-functional teams to design scalable distributed systems, improve reliability and safety, and evaluate emerging AI technologies while mentoring engineers and contributing through design reviews and code reviews.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, test, and operate production-grade agentic AI applications and services.
  • •Develop shared agentic AI capabilities such as agent frameworks and orchestration, planning/tool use/memory strategies, and RAG pipelines.
  • •Integrate LLMs into production applications, including inference services, evaluation, observability, and safety tooling.
  • •Collaborate with senior engineers and cross-functional partners to deliver AI-powered capabilities from concept through production.
  • •Mentor junior engineers and improve engineering quality through technical design discussions and code reviews.

Pay and Benefits

Salary: USD 123,000 - 215,250 annually

Key Requirements

  • •6+ years of experience building large-scale backend or distributed software systems.
  • •Experience developing AI-powered applications using LLMs, agentic workflows, RAG, or modern ML platforms.
  • •Experience building production services using TypeScript, Go, Python or similar languages.
  • •Strong software engineering fundamentals across backend development, APIs, cloud infrastructure, and distributed systems.
  • •Familiarity with cloud platforms, containers, and Kubernetes, plus experience with asynchronous processing, workflow engines, queues, or streaming systems.
Experience:6+ yearsAgentic AILLMsRAGDistributed systems
Education:High School
Skills:Problem-solvingCollaborationCommunicationMentorshipLearning mindset
Tech Stack:GoTypeScriptPythonRESTGRPCTRPCAWSGCPSNSSQSLambdaEKSAPI GatewayKubernetesKafkaTemporalDBOSLangGraphLangChainAirflow

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