The role involves designing and implementing privacy-preserving architectures for large-scale AI training and inference systems. The individual will build foundational privacy infrastructure, including automated data discovery, classification, and access controls. Responsibilities include translating complex regulatory requirements into technical implementations and conducting privacy reviews and threat modeling. The position requires collaborating with product and infrastructure teams to embed privacy controls into existing systems. Additionally, the role involves researching emerging privacy technologies and advocating for privacy best practices across the organization.

Candidates must possess deep expertise in privacy engineering principles and strong programming skills in Python or Go. A proven track record of designing privacy infrastructure for large-scale systems is required, along with experience in data governance and regulatory compliance. The role necessitates a minimum of a bachelor's degree or an equivalent combination of education and experience. Additionally, the position requires 15 years of software engineering experience and 3 years of experience leading complex projects or teams.