AI Engineer III

Overview Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the powerful backing of American Express. With a range of opportunities to work with the latest technologies and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues. Role Overview We are seeking an AI Engineer III – Agentic AI to build and operate production agentic AI systems on real financial data that serve real customers. This is not a research-only role; you will write production code, contribute to system design, and operate systems after launch. Responsibilities Contribute to the design and implementation of LLM-powered and agentic product features. Build and extend agentic AI workflows that reason over context, call tools, and perform actions under guidance from senior engineers. Help implement and maintain retrieval-augmented generation (RAG) pipelines over financial data, with an emphasis on correctness and safety. Contribute to shared AI infrastructure such as LLM services, orchestration components, and evaluation or monitoring tooling. Participate in operating AI systems in production, including monitoring, debugging, and improving reliability and performance. Collaborate closely with product and design partners, translating customer needs into technical solutions. Technical Environment We don’t hire to a narrow checklist, but candidates should be excited to grow in a modern, enterprise-scale engineering environment with a focus on agentic AI. Core Engineering Stack Languages: Python, Go, TypeScript Cloud and infrastructure: AWS and/or GCP, Kubernetes APIs and services: REST, gRPC Distributed systems: event-driven architectures, including Kafka Agentic AI and ML Commercial and open-source LLMs integrated into agentic workflows Tooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluation Schema validation and structured data handling AI‑Assisted Development Use of AI‑assisted and agentic development tools for design, implementation, testing, debugging, and refactoring Learn to apply these tools responsibly while maintaining production‑quality standards Build systems that meet high standards for reliability, security, and auditability Qualifications 4+ years of professional software engineering experience Hands‑on experience building or contributing to AI‑powered features, LLM‑based applications, or applied ML systems Solid engineering fundamentals in at least one backend language (Python, Go, or TypeScript) Familiarity with APIs, basic cloud concepts, and modern development practices Interest in agentic AI systems, autonomy, and AI‑assisted development workflows Willingness to learn, take feedback, and grow technical ownership Comfort working in collaborative, cross‑functional teams A strong customer mindset and curiosity about real‑world problem solving Preferred Qualifications Exposure to LLM tooling, prompt engineering, RAG, or agent frameworks through work, coursework, or personal projects Internship or early‑career experience in fintech or other regulated environments Contributions to open‑source projects, hackathons, or side projects related to AI or developer tooling Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions. #J-18808-Ljbffr American Express