Hiring: Sr AI Engineer I Company: American Express Location: Sunrise, FL Job Posted Time: 2026-09-16 18:13:18 Employment Type: Hybrid Target Skills & Keywords : Data Pipeline, Docker, Express, Hugging Face, Kubernetes, LLM, LangChain, Microservices, Python, RAG About the job Experience: •5 years of software engineering or data engineering experience Required Skills: •American Express Technologies is building AI-powered tools to improve how our production systems are monitored, supported, and maintained. This team focuses on applying Generative AI to real operational challenges—like incident triage, root cause analysis, Delivery Pipelines, and workflow automation—at an enterprise scale. •We’re looking for an engineer with hands-on experience in Generative AI who wants to build practical, production-ready applications. You’ll work on systems that combine LLMs with real-world operational data to reduce manual effort, drive decisions vis data, and improve system availability •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 help transition successful ideas into production-ready tools •Partner cross-functionally with engineers and product partners to identify high-impact opportunities for AI in production environments •Contribute to deployment, monitoring, and ongoing improvement of AI-powered systems •What You’ll Learn / Grow Into Qualifications: •2–5 years of software engineering or data engineering experience •Hands-on experience building solutions with demonstrated results using LLM-based applications (RAG, chatbots, or similar) •Proficiency in Python (preferred) or Go •Understanding of data pipelines and working with structured and unstructured data •Operational familiarity with modern AI/ML tooling (e.g., LangChain, Hugging Face, or similar ecosystems) •Experience deploying applications in cloud or containerized environments (Docker, Kubernetes, etc.) •Experience working with vector databases, traditional databases and warehouses, and embedding-based retrieval •Exposure to observability and/or operational data (logs, metrics, tracing) •Practical experience utilizing ITIL data, particularly incident, problem, and change •Operational familiarity with APIs, microservices, or full-stack development Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!