AI Engineer III

American Express; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

American Express is looking for an AI Engineer III to build and operate production agentic AI systems utilizing real financial data. Candidates should have over 4 years of software engineering experience and a strong background in AI-powered applications.

This position emphasizes collaboration, a strong customer mindset, and a willingness to engage with emerging technologies such as LLMs. Responsibilities include designing and implementing features, maintaining AI workflows, and participating in production operations.

Qualifications

• 4+ years of professional software engineering experience.
• Experience with AI-powered features or LLM-based applications.
• Fundamentals in backend languages (Python, Go, TypeScript).
• Familiarity with APIs and cloud concepts.
• Interest in AI-assisted development tools.

Responsibilities

• Design and implement LLM-powered product features.
• Build agentic AI workflows and maintain RAG pipelines.
• Collaborate with product and design partners.

Skills

Software engineering experience

AI-powered features

Backend languages

APIs

Collaboration

Tools

Python

Go

TypeScript

AWS

GCP

Kubernetes

Kafka

Job description

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.