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Manager-Software Engineering - The AI Platform Organization

American Express
Phoenix, USA
Full-time
Manager · 5+ years experience
Hybrid
Discovered 4 days ago

Full Job Posting

Qualifications

  • 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.

Responsibilities

  • 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.

Preferred Qualifications

  • Bachelor's degree in computer science, computer engineering, or other technical subject area, or equivalent work experience, is preferred

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