AI Engineer, Agentic AI

About American Express and Amex Tech

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

As part of Team Amex, you'll receive comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. 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. Work alongside talented tech teams and build a unique career with the Powerful Backing of American Express, leveraging the latest technologies and contributing to the broader engineering community through open source. Our mission is to power your success through our technology, culture, and colleagues.

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

AI at American Express

At American Express, AI is reshaping the future of commerce and redefining customer experiences. Within Amex Technology, we are building platforms, products, and governance to 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: AI Engineer, Agentic AI

As an AI Engineer, 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, learning 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. This is not a research-only role; 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.

What You’ll Do

• 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.

Technical Environment

Candidates should be excited to grow in a modern, enterprise-scale engineering environment with a focus on agentic AI. 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.

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
• Schema validation and structured data handling

AI-Assisted Development

• Use of AI-assisted and agentic development tools for design, implementation, testing, debugging, and refactoring.
• Learning how to apply these tools responsibly while maintaining production-quality standards.

What We’re Looking For

• 1+ 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.

Benefits and Culture

American Express backs you with benefits that support your holistic well-being, including competitive base salaries, bonus incentives, and support for financial-well-being and retirement. We offer comprehensive medical, dental, vision, life insurance, and disability benefits, along with flexible working models (hybrid, onsite, or virtual) and generous paid parental leave policies. Enjoy free access to global on-site wellness centers and confidential counseling support through our Healthy Minds program. We also provide extensive career development and training opportunities.

American Express is an equal opportunity employer committed to diversity and inclusion. Offer of employment is conditioned upon successful completion of a background verification check.

Key skills/competency

• Agentic AI
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Python
• Go
• TypeScript
• Kubernetes
• AWS/GCP
• Distributed Systems
• Production AI Engineering