AI Phone - Security & Privacy Engineer
Bjakcareer · United States
About this role
## About We are reimagining the phone. AI phones need to be proactive, intuitive, intelligent, and low cost—so intelligence can be adopted worldwide. We’re building proactive applications and devices that bring intelligence into daily conversations, coordination, and workflows, with minimal prompting. This role focuses on designing and implementing the **security and privacy architecture** for an AI-native phone—ensuring AI agents can safely access user data, interact with applications, and execute actions across the operating system. Unlike conventional mobile application security, this role must account for additional risks introduced by **AI agents** accessing personal context, system services, and application-level actions. --- ## Responsibilities - Design the overall **security and privacy architecture** for the AI-native phone. - Define **permission models** and **access boundaries** for AI agents interacting with user data and system services. - Design secure mechanisms for AI access to **messages, contacts, calendars, notifications, camera, microphone, location**, and other sensitive information. - Implement appropriate **sandboxing and isolation** for agent execution. - Define **authentication, authorization, and access-control** mechanisms for AI tools and application integrations. - Ensure users have control over **what information AI can access** and **what actions it can execute**. - Implement **audit logging** and **user-visible activity tracking** for AI access and actions. - Design secure **storage, encryption, data retention, and deletion** mechanisms for personal data and memory. - Identify and mitigate AI-specific security risks, including **prompt injection, malicious applications, data exfiltration, and unauthorized tool execution**. - Review **Android permission models**, privileged system access, **SELinux policies**, and system-level security boundaries. - Work closely with Android/AOSP, Agent Runtime, Context & Memory, and Applied ML teams to build security into the architecture (not as an afterthought). - Conduct **security assessments, threat modeling, and penetration testing** for system-level AI capabilities. --- ## Requirements - Strong experience in **mobile security**, **Android security**, application security, or systems security. - Deep understanding of **Android security architecture**, including application sandboxing, permissions, SELinux, Binder IPC, and privileged system services. - Experience designing **authentication, authorization, and access-control** systems. - Strong understanding of **encryption, secure storage, key management, and data protection**. - Experience with **security threat modeling**, vulnerability assessment, and penetration testing. - Understanding of **privacy-by-design**, data minimization, and user consent. - Ability to work across **Android platform, backend, and AI agent architectures**. --- ## Nice to Have - Experience with **AOSP security customization** or Android platform security. - Experience securing system-level applications or privileged Android services. - Experience with **AI agent security**, prompt injection, tool-use security, and LLM data leakage. - Experience with mobile device security: **TEE**, hardware-backed keystores, and secure boot. - Experience with **privacy engineering** for products handling sensitive personal information. - Experience building **permission and approval systems** for autonomous agents.
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