AI Engineer III

American Express • Sunrise, FL

1d

About The Position

The Technology organization enables American Express’s growth strategies by delivering global capabilities and services for customers and colleagues while maintaining 24/7 servicing and availability. Within Amex Technology, the Enterprise Data & AI Team builds platforms, products, and governance that enable enterprise AI experimentation, deployment, and responsible operation at scale.

The role is a hands-on engineering position focused on developing production agentic AI systems that work with financial data and serve customers. The AI Engineer III contributes to AI-powered features and agentic workflows, works with experienced engineers and cross-functional partners, and helps operate systems after launch. The position offers mentorship and opportunities to deepen technical expertise in LLMs, agentic systems, and production AI engineering. Systems must meet high standards for reliability, security, explainability, and auditability in a regulated financial services environment.

Requirements

• 3 to 5+ years of software development experience with a proven track record of building data-driven products.
• Proficiency in Python, specifically for ML/AI, and/or Java.
• Hands-on experience with tools and methods such as Airflow, MLFlow, and LLM engineering, including RAG, fine-tuning, and AI agents.
• Experience with REST and gRPC APIs and services.
• Experience with distributed systems and event-driven architectures, including Kafka.
• A BS or MS degree in Computer Science, Computer Engineering, or a similar discipline.
• Demonstrated responsible, hands-on use of Claude and Codex for development tasks while validating their outputs.
• Employment eligibility to work in the United States; American Express will not pursue visa sponsorship for these positions.

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 the guidance of senior engineers.
• Help implement and maintain retrieval-augmented generation (RAG) pipelines over financial data, emphasizing correctness and safety.
• Contribute to shared AI infrastructure, including LLM services, orchestration components, and evaluation or monitoring tools.
• Participate in operating production AI systems by monitoring, debugging, and improving reliability and performance.
• Collaborate with product and design partners to translate customer needs into technical solutions.
• Use Claude and Codex responsibly to accelerate code generation, review, testing, and documentation, validating outputs for security, reliability, and correctness.
• Write production code, contribute to system design discussions, and help operate delivered systems.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level