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Mattel, East Aurora, NY, seeks a Quality Engineer, Applied AI Solutions & Enablement to translate quality problems into prototypes and scalable AI-enabled solutions. You will prototype tools, automate workflows, and partner with GTO, AI offices, and vendors to scale the right solutions responsibly.
The role requires strong presentation skills to align internal teams and executives, with a focus on integrating AI readiness and decision-support capabilities across Global Quality.
CREATIVITY IS OUR SUPERPOWER.It’s our heritage and it’s also our future. Because we don’t just make toys. We create innovative products and experiences that inspire fans, entertain audiences and develop children through play. Mattel is at its best when every member of our team feels respected, included, and heard—when everyone can show up as themselves and do their best work every day. We value and share an infinite range of ideas and voices that evolve and broaden our perspectives with a reach that extends into all our brands, partners, and suppliers.
The Global Quality & Safety AI Strategy & Enablement team is building the foundation for responsible, scalable Applied AI across Quality. The team partners with Quality Engineering, Product Development, Regulatory, Packaging, Manufacturing, GTO, the Office of AI, and external build partners to turn Quality process knowledge into practical, governed, AI-enabled solutions.
This work is focused on solving real Quality problems through rapid prototyping, scalable solution design, advanced analytics, and decision support. The team helps Quality move from fragmented pilots to reusable capabilities such as AI-ready knowledge, grounded retrieval, document build workflows, agentic decision support, predictive models, workflow automation, and validated tools with human review where required.
Mattel is currently seeking a Quality Engineer, Applied AI Solutions & Enablement in East Aurora, NY. This role will help Global Quality & Safety solve complex business and Quality problems by translating expert knowledge, process pain points, and decision needs into working prototypes, build-ready requirements, scalable solution designs, validation plans, and governed handoff packages.
The role requires a hands-on solution builder who can move quickly from problem to prototype, prove value with stakeholders, and then partner with GTO, the Office of AI, data teams, and external vendors to scale the right solutions responsibly. The person does not need to be the final production engineer for every solution, but they must be comfortable shaping technical direction, testing outputs, maintaining vendor relationships, and ensuring prototypes can become supportable enterprise capabilities.
The initial focus will center on advancing the Quality organization through AI-enabled decision support, knowledge access, and workflow transformation. The role will also support broader Quality AI initiatives spanning AI readiness, scalable solution design, intelligent automation, predictive insights, and experimentation to help build reusable capabilities across Global Quality.
The ideal candidate can operate between business process, Quality Engineering, data, AI, technology delivery, executive communication, and partner management. They must be able to build clarity from ambiguity, create compelling presentations and demos, align internal teams, manage vendor inputs, and convert prototypes into plans that can scale across Global Quality.