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American Express
American Express
B2BBankingFinance
American Express is a global financial services company operating across banking, finance, and B2B payments. Its business includes consumer, business, and corporate credit cards; payment and merchant services; savings accounts, certificates of deposit, and personal loans; as well as rewards, travel programs, corporate payment solutions, financial education, security services, and cardmember and merchant support.
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Senior AI Engineer II, Enterprise Architecture

Build LLM-powered and agentic systems for American Express financial services. Design reliable retrieval-augmented generation pipelines, shared AI infrastructure, and customer-facing financial features.

USUnited StatesNYNew York
$123,000 – $215,250 / year
HybridFull-timeSeniorEnglish RequiredAI EngineerMachine Learning Engineer
AWSCloudGoGoogle Cloud PlatformGRPCKafkaKubernetesPythonTypeScript

Description

  • Develop and launch LLM-powered and agentic features that help customers manage their finances
  • Create agentic AI systems that interpret context, use tools, take action, and handle failures gracefully
  • Design production RAG pipelines for sensitive financial data, emphasizing accuracy, auditability, and safety
  • Contribute to shared AI infrastructure, including LLM services, agent orchestration, and evaluation and monitoring tools
  • Take ownership of production systems, including reliability, latency, cost, and failure handling
  • Partner closely with product and design teams to deliver customer outcomes
  • Develop, test, debug, and refactor software with AI-assisted and agentic workflows
  • Build financial services systems to high standards of reliability, security, and auditability

Requirements

  • At least five years of software engineering experience, including substantial production work with LLMs or applied machine learning systems
  • A history of delivering AI-powered or agentic systems that people use and depend on
  • Strong software engineering foundations in backend systems, APIs, data pipelines, and cloud infrastructure
  • Practical experience with modern LLM tools, agent patterns, and architectures
  • Proficiency with AI-assisted and agentic software development workflows
  • Strong ownership and sound technical judgment
  • Ability to navigate ambiguity and turn it into dependable shipped products
  • Product-minded approach and focus on customer needs
  • Preferred: experience building agentic systems in fintech or another regulated industry
  • Preferred: experience as a founding engineer or early technical contributor in a high-growth organization
  • Preferred: evidence of delivering technically complex systems that customers rely on in regulated settings
  • Preferred: meaningful open-source contributions, especially in AI or developer tools
  • Experience with Python, Go, or TypeScript
  • Experience with AWS and/or Google Cloud Platform
  • Experience with Kubernetes
  • Experience with REST and gRPC
  • Experience with event-driven architectures such as Kafka
  • Experience integrating commercial and open-source LLMs into agentic workflows
  • Knowledge of agent orchestration, retrieval-augmented generation, vector storage, and evaluation tools
  • Strong practices for schemas, validation, and state management
  • Must satisfy applicable work authorization requirements; visa sponsorship may be available for some positions

Benefits

  • Competitive base salary
  • Bonus incentives
  • 6% company match on the retirement savings plan
  • Complimentary financial coaching and financial well-being support
  • Medical, dental, vision, life insurance, and disability coverage
  • Flexible work arrangements, which may be hybrid, on-site, or virtual depending on the role and business needs
  • More than 20 weeks of paid parental leave for all parents, regardless of gender, including for pregnancy, adoption, or surrogacy
  • Complimentary access to global on-site wellness centers staffed by nurses and doctors, depending on location
  • Free, confidential counseling through the Healthy Minds program
  • Career development and training opportunities

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