Sr AI Engineer I

Job Description

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

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 help transition successful ideas into production-ready tools • Apply LLMs, embeddings, and vector databases to solve problems in incident management and system operations • Collaborate 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 • Designing and scaling AI systems in real-world production environments • Applying GenAI patterns (RAG, agents) to complex and diverse enterprise data • Building reliable, observable systems-not just prototypes, with measurable effectiveness and outcomes • Working across teams to turn ideas into adopted mainstream solutions

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 • 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.)

Preferred Qualifications • Experience working with vector databases, traditional databases and warehouses, and embedding-based retrieval • Exposure to observability and/or operational data (logs, metrics, tracing) • Experience with ITIL data, particularly incident, problem, and change • Familiarity with APIs, microservices, or full-stack development • Interest in applying AI to system reliability and operational effectiveness. • Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.