Manager-Software Engineering - The AI Platform Organization

American Express•Phoenix, AZ

23h

About The Position

The Manager-Software Engineering will join American Express’s AI Platform Organization, which aims to set high standards for technical excellence, talent, strategy, and norms across Technology while cultivating technical innovation. Reporting to the Director of Generative AI Enterprise Enablement, the role will serve as a strategic partner to technical and non-technical teams, bringing strategic platforms and projects to life. The manager will enable platform vision and product roadmaps while driving business objectives and targeted outcomes, and will provide regular written and verbal updates to Senior Management in partnership with the director and other AI leaders. The position leads the engineering enablement, implementation, administration, and ongoing optimization of enterprise AI SaaS platforms. It owns platform configuration and operations, supports integration of platform capabilities into enterprise applications and workflows, and works with security, risk, compliance, and governance stakeholders to uphold enterprise standards. The role also supports onboarding and adoption, coordinates enhancements and releases, tracks delivery and operational risks, and evaluates emerging AI technologies and practices. Where applicable, the manager mentors Technology Delivery and Engineering colleagues.

Requirements

Bachelor’s degree in computer science, computer engineering, or another 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 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 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, including the ability to communicate effectively across third parties and technical and business teams.
Ability to clarify objectives, deal with ambiguity and under-defined problems, advocate for simplification, and influence teams.
Ability to enable business capabilities through innovation.
Proven willingness to learn new technologies.

Responsibilities

Lead 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 resolve impediments and communicate 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.
Partner with the director and other AI leaders to provide regular written and verbal updates to Senior Management.