Quality AI Engineer: Prototyping to Scalable Solutions

Mattel, Inc.

East Aurora (NY)

On-site

USD 105,000 - 120,000

Full time

8 days ago

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Job summary

Mattel, Inc. in East Aurora, NY is seeking a Quality Engineer, Applied AI Solutions & Enablement to translate expert knowledge into AI-enabled workflows and decision support for Global Quality.

You will prototype, validate, and scale AI-enabled capabilities across processes, with engagement across IT, data, and external partners. The role emphasizes rapid problem framing, hands-on prototype work, and governance to ensure enterprise-ready outcomes.

Qualifications

  • Bachelor-level or higher in engineering, quality, data analytics, or related field.
  • Strong ability to translate expert knowledge into structured workflows and requirements.
  • Experience prototyping AI-enabled tools, dashboards, and knowledge bases.

Responsibilities

  • Frame quality problems, design rapid prototypes, and demonstrate value to stakeholders.
  • Prototype AI-enabled tools, dashboards, and knowledge-retrieval solutions.
  • Collaborate with IT, data teams, cybersecurity, architecture, and partners to scale solutions.
  • Manage vendor relationships, scoping pilots, and evaluating demos.
  • Create executive-ready roadmaps, demos, and business cases.

Skills

Presentation skills
Storytelling
Vendor management
Cross-functional collaboration
AI enablement

Education

Bachelor's degree in Engineering, Quality, Data Analytics, Information Systems, Product Development, Business Process Management, or a related field

Tools

Veeva
Polarion
Windchill
GCP/BigQuery

Job description

Mattel, Inc. in East Aurora, NY is seeking a Quality Engineer, Applied AI Solutions & Enablement to translate expert knowledge into AI-enabled workflows and decision support for Global Quality.

You will prototype, validate, and scale AI-enabled capabilities across processes, with engagement across IT, data, and external partners. The role emphasizes rapid problem framing, hands-on prototype work, and governance to ensure enterprise-ready outcomes.

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