Senior Director, AI Engineering Transformation

What you'll do

• Build unified Engineering data infrastructure and ingestion pipelines, connecting them to enterprise data architecture.
• Set and deliver the AI transformation roadmap, including AI-powered program management, planning, design, testing, reliability, and quality workflows.
• Build and lead an embedded AI Fellows team; drive adoption, change management, and measurable outcomes.

What they ask for

• 10+ years of professional experience in AI/ML, engineering leadership, program management, data architecture, quality engineering, or technology transformation roles.
• Technical fluency in AI/ML and data infrastructure, including tools, platforms, and data pipelines.
• Track record leading large-scale transformation or change management initiatives.
• Understanding of hardware or consumer electronics development lifecycles, including stage-gate processes, DVT/EVT/PVT builds, and cross-functional launch execution.

Nice to have

• Experience at an AI-native company or in an engineering organization where AI was core to development.
• Experience productionalizing AI prototypes; familiarity with FMEAs, DVT, EMC/regulatory compliance, reliability testing, or field-return analytics; Mandarin ability.

Pay

$225,000—$250,000 USD annual base salary

Tools

Snowflake, AWS, AI/ML, PowerPoint

AI focus

Leads AI integration across the Engineering lifecycle, including data infrastructure, program management, planning, design and test workflows, reliability, and product quality.