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.
The Role
As a Senior AI Engineer II – Agentic AI, you will be a core builder responsible for turning complex, ambiguous problems into production-grade agentic systems that operate on real financial data, serve real customers, and meet real regulatory requirements.
You will work end to end: shaping solutions with product and design, building and shipping production code, and owning what you deliver after launch. The scope of this role spans customer-facing LLM-powered features, agentic systems that automate financial workflows, and internal AI capabilities that enable other engineers to build with AI safely and efficiently.
This is not a research-only role. We are looking for engineers who are comfortable operating with autonomy, exercising sound judgment, and pushing the technical envelope within the realities of a regulated financial environment.
What You’ll Do
Design, build, and ship LLM-powered and agentic product features that change how customers manage their finances.
Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure.
Architect and implement production-grade RAG pipelines over sensitive financial data, with strict requirements for correctness, auditability, and safety.
Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and evaluation and monitoring tooling, that scales agentic development across Amex Technology.
Own the systems you build in production, including reliability, latency, cost, and failure modes.
Work closely with product and design partners; engineers in this role are expected to think in terms of customer outcomes, not just technical execution.
Technical Environment
We don’t hire to a narrow checklist, but candidates should be comfortable operating in a modern, enterprise-scale environment with a strong emphasis 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
Strong schema, validation, and state management practices
AI-assisted development
Fluency with AI-assisted and agentic development workflows for design, implementation, testing, debugging, and refactoring
Thoughtful use of these tools while maintaining production-quality engineering standards
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.
8+ years of software engineering experience, including meaningful production experience with LLMs or applied ML systems.
A track record of shipping AI-powered or agentic systems that real users depend on.
Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
Hands-on experience with modern LLM tooling and agentic patterns and architectures.
Fluency with AI-assisted and agentic development workflows.
Strong sense of ownership and sound technical judgment.
Comfort operating with ambiguity and turning it into shipped reliable product.
A strong product mindset and customer orientation.
Preferred Qualifications
Experience building agentic systems in fintech or other regulated industries.
Experience as a founding engineer or early technical contributor in high-growth environments.
Demonstrated ability to ship technically complex systems in regulated contexts that customers actively rely on.
Meaningful open-source contributions, particularly in AI or developer tooling.
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