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. How will you make an impact in this role? Digital acquisition is one of Amex’s top priorities. Core to delivering on this priority are Card, loans, banking, and payment application and onboarding experiences that enable our customers to apply for our products with the least amount of effort, wherever and however they choose to apply. In addition to an enormous emphasis on users and usability, our team is responsible for growing new accounts acquired and accounts receivable by increasing application completions and approvals. In this role, you will partner with Technology, Marketing, Research, Analytics, Risk, and UX/UI teams to deliver intelligent, scalable, and compliant onboarding solutions that directly drive growth. You will serve as the AI product champion for EAPP, embedding intelligence into core platform capabilities and driving the evolution from static, rule-based workflows to predictive, adaptive, and generative experiences. This includes identifying high-impact AI/ML and Generative AI use cases that improve conversion, streamline decisioning, reduce friction, and enhance customer personalization — while adhering to Responsible AI and governance standards. You will influence platform architecture and roadmap decisions to ensure EAPP is AI-ready, scalable, and positioned to support future model integrations, experimentation frameworks, and model lifecycle management.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees