AE

AI Engineer III

American Express

New York City, UShybrid$104k-$175k/yrPosted Jul 14, 2026
Posting intelligenceActively listed

Skills

typescriptexpresspythonllmgoml

About the role

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

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.

The Technology organization enables and accelerates the company’s growth strategies, delivering global capabilities and services in support of Amex’s customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.

At American Express, AI is reshaping the future of commerce and redefining the experiences our commercial customers and card members expect. Within Amex Technology, we are building platforms, products, and governance that enable agentic AI systems to operate responsibly and at scale across the enterprise.

Our focus is on agentic AI development: designing intelligent, adaptive systems that can plan, reason, and act across complex workflows with appropriate levels of autonomy. These systems power autonomous workflows, decision support, and customer-facing experiences - while meeting the high standards for security, explainability, reliability, and compliance required in financial services.

We partner closely with product, design, and business teams to deliver agentic capabilities that reduce operational friction, improve decision-making, and transform how customers interact, transact, and grow.

4+ years of professional software engineering experience.

Some hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems (professional or project-based).

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 over time.

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.

Compensation

This Machine Learning Engineer role pays $104k-$175k/yr. Within typical range for machine learning engineer roles in United States.

Questions about this role

Click "Apply with AI Applyd" above and you are done. Your resume is rewritten for this advert, the screening questions are answered, and it is submitted on American Express's own hiring system. No retyping your history, no fourteen tabs, no evening lost.

Compensation for Machine Learning Engineer roles in United States varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Machine Learning Engineer hub for United States medians across recent openings.

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