Lead Quality Engineer AI Enablement
Core
Lead Quality Engineer driving AI enablement to solve complex business and quality problems by translating expert knowledge into working prototypes, scalable solution designs, and governed handoff packages for Mattel's Global Quality & Safety organization.
Role type
Senior IC Quality Engineer (AI Enablement & Solution Design)
Builds
AI-enabled decision support tools, workflow automations, dashboards, agentic workflows, and knowledge-retrieval solutions
Domain
Consumer Products / Manufacturing / Quality Engineering / AI
Deliverable
production ML models
Required skills
AI solution design (RAG, agents, automation), rapid prototyping, vendor management, process mapping, executive storytelling, data governance, cross-functional collaboration, systems thinking, requirement translation, validation planning (via careerplan.io/jobs/744000153627847-lead-quality-engineer-ai-enablement-at-mattel)
Preferred skills
Toy/consumer product industry experience, New Product Development (NPD) lifecycle knowledge, enterprise PLM systems (Veeva, Polarion, Windchill), GCP/BigQuery, AI model evaluation
Technologies
RAG, AI agents, GCP, BigQuery, Veeva, Polarion, Windchill, Agile PLM, SharePoint, Teams
Responsibilities
Design practical solution paths and build rapid prototypes for AI-enabled tools and workflow automations; Partner with data teams and vendors to define scalable solution paths and production-readiness criteria; Create executive-ready narratives, demos, and business cases to secure investment and alignment; Convert expert process knowledge into AI-ready task context, validation criteria, and human-in-the-loop requirements; Define practical quality gates and validation plans for AI-enabled workflows; Lead process discovery for priority use cases including NPD workflows and hazard reviews.
Seniority
Senior, hands-on IC
