The AI Quality Engineer will work closely with AI Engineers, Platform Engineers, Architects, Quality Engineering teams, Security, Risk, and Product Owners to develop repeatable evaluation frameworks, testing methodologies, benchmarking standards, and governance processes for enterprise AI solutions. This individual will play a critical role in ensuring AI solutions meet enterprise expectations for accuracy, transparency, auditability, and operational excellence before production deployment.
In addition to validating AI-powered solutions, this role will serve as the independent quality authority for NFCU's Internal Developer Portal (IDP) and Developer Experience (DevEx) platform initiatives. The successful candidate will evaluate and certify new portal capabilities, self-service workflows, automation features, developer onboarding experiences, and platform enhancements to ensure they meet usability, reliability, operational readiness, governance, and business value expectations before release to engi
QA
AI
Cloud
DevOps platforms, CI/CD pipelines, platform engineering
APIs, microservices, integrations, and distributed systems
