Engineer, Generative AI Applications

About

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.