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 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.

The AI Platform Organization has a vision of setting high standards for technical excellence, talent, strategy, and norms across Technology. It also strives to encourage and cultivate technical innovation as well as enhance and highlight the organization's technical pulse.

This position reports to the Director of Generative AI Enterprise Enablement. The successful candidate will act as strategic partner to both technical and non-technical teams to bring strategic platforms and projects to life. The position will have responsibility for enabling the platform vision, product roadmaps and driving business objectives and targeted outcomes.  This role will also partner with their director and other AI Leadership to provide regular written and verbal updates to Senior Management.

 

• Bachelor's degree in computer science, computer engineering, or other technical subject area, or equivalent work experience, is preferred
• 5+ years of hands-on engineering experience across complex systems and platforms, with a proven track record of delivering scalable and high-impact solutions
• Deep understanding of software and infrastructure design principles with a demonstrated track record of increasing responsibility
• Demonstrated experience in working with cross-functional, geographically dispersed teams on complex projects.
• Experience using Agile, Scrum, or other rapid application development team concepts to deliver technology solutions on that meet customer expectations for timeliness and quality
• Knowledge and experience using Agile management tools such as Jira, Rally or similar platforms
• Excellent oral and written interpersonal abilities; Ability to optimally communicate across third parties and technical and business teams
• Experience in clarifying objectives, dealing with ambiguity/under-defined problems, advocating for simplification, and influencing teams
• Ability to enable business capabilities through innovation
• Proven willingness to learn new technologies.

 

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.

 

 

• Lead the engineering enablement, implementation, administration, and continuous optimization of enterprise AI SaaS platforms, ensuring secure, scalable, and reliable solutions aligned with organizational objectives.
• Own platform administration and configuration, including workspace and project management, user provisioning, role-based access controls, authentication, API credentials, usage limits, and lifecycle management.
• Partner with application engineering, infrastructure, cybersecurity, and architecture teams to design, integrate, and operationalize AI platform capabilities within enterprise applications and workflows.
• Establish and maintain platform operational controls, including monitoring, observability, usage analytics, performance optimization, incident management, and cost governance.
• Drive technical onboarding and platform enablement for internal teams, facilitating API access, integration support, environment configuration, and adoption of engineering best practices.
• Collaborate with security, risk, compliance, and governance stakeholders to implement enterprise standards for identity management, data protection, access controls, and responsible AI usage.
• Lead platform enhancements, configuration changes, release coordination, testing, and production readiness activities to ensure operational stability and seamless adoption of new capabilities.
• Partner with program and engineering teams to track platform deliverables, technical milestones, dependencies, and operational risks, proactively resolving impediments and communicating progress.
• Evaluate emerging AI models, platform capabilities, and engineering practices to identify opportunities for automation, innovation, operational efficiency, and enhanced developer experience.
• Demonstrate technical leadership, structured problem-solving, adaptability, and a bias for action while navigating complex and rapidly evolving AI technologies.
• Where applicable, mentor Technology Delivery and Engineering colleagues, fostering technical excellence, knowledge sharing, continuous learning, and an inclusive team environment.