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.

• Bachelor’s degree in Computer Science, Computer Engineering, and/or comparable experience
• Knowledge of distributed (multi-tiered) systems, algorithms, NoSQL and relational databases
• Knowledge of the core tools used in the planning, analyzing, crafting, building, testing, configuring, and maintaining of assigned application(s)
• Work Experience:
• Software engineering and development experience or a related job
• Experience in application design, software development, and automated testing
• Experience in object-oriented design and coding with variety of languages
• Experience in distributed (multi-tiered) systems, algorithms, and relational databases
• Experience in Agile software development methodologies and practices such as Scrum/Kanban, iterations, user stories
• Experience in automation testing and documentation (i.e. automated, functional, and performance)
• Licenses and Certifications

Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.