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American Express
American Express
B2BBankininkystėFinansai
„American Express“ yra pasaulinė finansinių paslaugų įmonė, veikianti bankininkystės, finansavimo ir verslo mokėjimų srityse. Jos veikla apima vartotojams, įmonėms ir korporacijoms skirtas kredito korteles, mokėjimų ir prekybininkų paslaugas, taupomąsias sąskaitas, terminuotuosius indėlius ir asmenines paskolas, taip pat apdovanojimų ir kelionių programas, įmonių mokėjimo sprendimus, finansinį švietimą, saugumo paslaugas bei pagalbą kortelių nariams ir prekybininkams.
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Darbai įmonėje

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.

USJungtinės ValstijosNYNiujorkas
123 000 $ – 215 250 $ / metai
HibridinisVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųDirbtinio intelekto inžinieriusMašininio mokymosi inžinierius
AWSDebesijaGoGoogle Cloud PlatformgRPCKafkaKubernetesPythonTypeScript

Aprašymas

  • 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

Reikalavimai

  • 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

Privalumai

  • 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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