AI Engineer - Global Servicing Technology

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 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.

The Enterprise Data & AI Team  creates the platforms, products, and governance that power enterprise AI. Our team enables rapid experimentation, seamless deployment, and responsible operation of AI systems at scale — delivering trusted, compliant, and high-performance AI solutions that drive meaningful business outcomes, partnering with stakeholders to support use cases from inception to implementation. ​

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.

As an AI Engineer II – Agentic AI, you will be a hands-on builder contributing to the development of production agentic AI systems that operate on real financial data and serve real customers. You will work alongside experienced engineers, product managers, and designers to design, build, and ship AI-powered features, while learning how to operate within a regulated, customer-facing environment. This role offers strong mentorship and opportunities to grow your technical depth in LLMs, agentic systems, and production AI engineering.

You will write production code, contribute to system design discussions, and help operate what you build after launch, with support and guidance from more senior engineers.

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, learning to translate customer needs into technical solutions.

AI-assisted development

AI Coding Assistants: Qualified candidates should demonstrate responsible, hands-on use of Claude and Codex to accelerate code generation, review, testing, and documentation while validating outputs for security, reliability, and correctness.

Apply tools responsibly while maintaining production-quality standards and ethics

All systems are built to meet high standards for reliability, security, and auditability, reflecting the responsibility of deploying autonomous AI in a financial services environment.

3 to 5+ years of software development experience with a proven track record of building data-driven products.

Languages: Proficiency in Python (specifically for ML/AI) and/or Java

AI/ML Tools: Hands-on experience with frameworks like Airflow, MLFlow, and LLM engineering (RAG, fine-tuning, AI agents)

APIs and services: REST, gRPC

Distributed systems: event-driven architectures, including Kafka

Education: A BS or MS degree in Computer Science, Computer Engineering, or a similar discipline

Key Performance Signals

Independence: Operates with high autonomy, driving work from problem definition to delivery with minimal guidance

Architectural Influence: Moves beyond syntax to focus on broader architectural design, such as designing scalable data platforms and evaluating processing trade-offs.

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.