Design and implement LLM-powered product features, build agentic AI workflows, and contribute to shared AI infrastructure. Collaborate with product and design partners to translate customer needs into technical solutions. Work on mobile payments solutions used by tens of millions of cardholders worldwide.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Job Description
The Enterprise Data and AI organization unites the data governance, strategy, engineering, and product teams with those responsible for AI engineering, generative AI enablement, and automation product and engineering. This group plays a pivotal role in leveraging data as a core driver of innovation and integrating AI capabilities to transform products, operations, and customer experiences.
The EDAI organization also incorporates technology Research & Development and experimentation with emerging capabilities, along with engineering support for Amex Digital Labs. This integration ensures that research breakthroughs seamlessly translate into business impact.
We’re looking for an experienced Software Engineer ll to work on the mobile payments solutions that will be used by tens of millions of cardholders around the world. We want someone who is super creative and enjoys solving tough problems. You should be able to come up with brilliant solutions that no one else can, and be obsessive about UI/UX design and user experience.
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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.
Responsibilities
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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. Needs 3-5 years experience.
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About Us
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 our 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.
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