Sr AI Engineer I

American Express
Phoenix
Workplace: HybridFull timeUSD 123,000 - 215,250 annuallyFunction: Data Science & Machine LearningExperience: 2-5 yearsEducation: bachelorsSkills: ["Collaboration","Deployment","Monitoring"]

Build production-ready Generative AI applications that pair LLMs with enterprise operational data to automate incident triage, root cause analysis, and workflow management. Develop data pipelines that connect logs, metrics, and operational signals for RAG systems and lightweight agent workflows. Collaborate with engineers and product partners to identify high-impact AI opportunities, and contribute to deployment, monitoring, and ongoing improvements for reliable, observable AI services at enterprise scale.

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FursaFursa
American Express
American Express
5 days ago

Sr AI Engineer I

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Build production-ready Generative AI applications that pair LLMs with enterprise operational data to automate incident triage, root cause analysis, and workflow management. Develop data pipelines that connect logs, metrics, and operational signals for RAG systems and lightweight agent workflows. Collaborate with engineers and product partners to identify high-impact AI opportunities, and contribute to deployment, monitoring, and ongoing improvements for reliable, observable AI services at enterprise scale.
Location: Phoenix
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build and iterate on Generative AI applications, including retrieval-augmented generation (RAG) systems and lightweight agent workflows.
  • •Develop data pipelines that bring together logs, metrics, and operational data to support AI-driven use cases.
  • •Prototype quickly and transition successful ideas into production-ready tools.
  • •Apply LLMs, embeddings, and vector databases to solve problems in incident management and system operations.
  • •Contribute to deployment, monitoring, and ongoing improvement of AI-powered systems.

Pay and Benefits

Salary: USD 123,000 - 215,250 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisability BenefitsRetirementParental LeaveWellness Stipend

Key Requirements

  • •2–5 years of software engineering or data engineering experience.
  • •Hands-on experience building LLM-based applications (e.g., RAG, chatbots) with demonstrated results.
  • •Proficiency in Python (preferred) or Go.
  • •Understanding of data pipelines and working with structured and unstructured data.
  • •Experience deploying applications in cloud or containerized environments (e.g., Docker, Kubernetes).
Experience:2-5 years
Education:Bachelor's in Bachelor's Degree
Skills:CollaborationDeploymentMonitoring
Tech Stack:Generative AILLMsRAGChatbotsPythonGoLangChainHugging FaceData pipelinesStructured dataUnstructured dataDockerKubernetesVector databasesEmbeddingsObservabilityLogsMetricsTracingITIL

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

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