Sr AI Engineer I - Global Commercial Services

Senior AI Engineer I – Agentic AI, Global Commercial Services

The Role

As a Senior AI Engineer I – Agentic AI, you will be a hands-on engineer within Amex Technology, building and evolving production-grade agentic AI systems that power intelligent customer and enterprise experiences. Today that means agents that work in real time to take the tedious part of spend management off our business customers. They read messy real-world documents, work out what belongs in the record, and propose values that already fit the customer's policy, so the user reviews instead of types. Working closely with senior engineers, architects, Product, UX, Data Science, and Engineering teams, you will design, implement, and operate scalable, reliable, and secure AI solutions. You'll work in a small team that owns the full stack of an AI product, from the agent framework and pipelines to the evals and the production service, and you'll build across all of it.

Global Commercial Services (GCS) serves millions of business customers around the world, from mom-and-pop shops to Fortune 500 companies. We back businesses so they can do more business, with a mission to be the undisputed leader in financial and membership services — responsibly driving double-digit revenue growth. We do that by offering a diverse range of payment and cashflow tools, from a wide range of traditional card products, to working capital and supply chain financing, to new digital solutions that make it easy for our customers to manage a full range of their financial and payment needs.

Why Join Our Team

The difficult part is not making an LLM demo look convincing. It is building systems that remain useful when context is incomplete, tools fail, models change, and the outcome must be explainable. At American Express, those systems must also meet the security, reliability, privacy, and control standards of a global payments company.

In this role, you will own meaningful pieces of that problem from design through production. You will take on ambiguous work within our services, help decide where deterministic software should end and model behavior should begin, build the evaluations and operating signals that prove it, and stay accountable after launch. Your work will land in both customer-facing capabilities and the shared AI platform other engineers use.

The team also treats developer experience as a product. We build and refine model access, orchestration patterns, evaluation harnesses, observability, guardrails, and AI-assisted engineering workflows. When a tool or practice proves useful, we make it reusable so teams across Amex can move faster without lowering the engineering bar.

What We're Looking For

- 4+ years building backend or distributed systems in production.
- Shipped LLM-powered features and can walk through how one worked under the hood: prompts, retrieval, output handling, and what surrounded the model call.
- Strong TypeScript or Go, and willingness to work across both.
- Solid distributed-systems fundamentals: queues, event-driven design, failure modes.
- Curiosity about what an LLM should decide versus what code should decide.
- Clear communication across engineering, product, and design.

Nice to Have

- Experience building or maintaining internal platform tooling or frameworks.
- Experience writing LLM evals or working with LLM observability tooling.
- Experience with durable execution or workflow orchestration engines such as Temporal.
- AI features shipped in financial services or another regulated industry.
- Vector search or embedding pipelines in production.