The role involves leading the AI recommender system engineering function for cloud-based electronic system design tools. The individual will define technical strategy, architecture, and roadmaps while managing and developing a team of engineers. Responsibilities include establishing engineering standards, workflows, and testing frameworks for machine learning systems. The position requires bridging the gap between machine learning engineering and business stakeholders by educating leadership on technical capabilities. Additionally, the role involves hands-on architectural work and the development of production machine learning systems.

Candidates must possess 8-10 years of experience in production-grade software systems with a focus on building and leveraging AI/ML components. A PhD or Masters degree in AI/ML or an adjacent field is required. The role necessitates significant technical and people management experience, along with the ability to establish engineering practices from the ground up. Strong communication skills are essential for explaining complex concepts to non-technical stakeholders.