Staff+ Software Engineer, Privacy

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We re seeking an exceptional seasoned Privacy Engineer to join our growing privacy engineering team and help scale our privacy infrastructure as we navigate the transformative AI landscape. As one of our first dedicated privacy engineers, you ll have an outsized impact in shaping how Anthropic builds world-class privacy into our AI systems from the ground up. This is a seasoned individual contributor role where you ll provide technical and cultural leadership, architect innovative privacy-preserving systems, and drive implementation of cutting-edge privacy technologies across our AI infrastructure. You ll work at the intersection of privacy engineering, AI safety, and distributed systems to solve novel challenges in protecting user data at scale. Responsibilities: Design and implement privacy-preserving architectures for AI training and inference systems handling billions of conversations, leveraging differential privacy, federated learning, and secure multi-party computation Partner with AI researchers to implement privacy-preserving training methodologies that maintain model quality while protecting user data Build foundational privacy infrastructure including automated data discovery, classification, access controls, audit logging, and lifecycle management systems Translate complex regulatory requirements (GDPR, CCPA, HIPAA, EU AI Act) into actionable technical implementations and automated compliance controls Architect comprehensive data governance platforms for tracking data lineage, purpose limitation, and retention across distributed AI systems Lead technical privacy reviews and threat modeling for new AI models and features, identifying risks and architecting scalable mitigations Collaborate with product and infrastructure teams to embed privacy controls into Claude s inference systems, user interfaces, and data pipelines Develop privacy engineering toolkits and frameworks that enable all engineers to build privacy-preserving features by default Design and implement privacy-preserving analytics and measurement systems that provide insights while protecting individual user privacy Research and evaluate