[Remote] Principal AI Security Engineer, AI Native Platform

Note: The job is a remote job and is open to candidates in USA. Life360 is a company dedicated to keeping families connected through innovative technology. They are seeking a Principal AI Security Engineer to secure their AI infrastructure, defining security architecture and collaborating with engineering teams to ensure the safety of sensitive location data and family relationship graphs.ResponsibilitiesOwn the security strategy for frontier model access and MCP governance. Define how we securely connect to frontier models and external tool integrations: the risk framework, the authorization architecture, and the escalation model before those patterns harden at scale. Set the direction that builders implement withinArchitect the identity and trust model for non-human agents. Define how agents authenticate, how trust is established and revoked across orchestration chains, and how the model evolves as agent capabilities expand, covering service identities, scoped credentials, and least-privilege access patterns across the platformSet the adversarial defense posture for AI systems in production. Define our approach to prompt injection defense, adversarial input handling, and behavioral monitoring patterns and establish the detection philosophy, telemetry requirements, and response framework the team builds and operates withinShape security architecture for the common AI end-user platform. Lead design reviews and build the access controls, data boundary enforcement, and abuse detection that keep a shared AI environment safe across an employee population with varying privilege levelsSecure the shared knowledge layer. Define access control and data governance for retrieval and reasoning, ensuring AI-powered tools don't inadvertently surface sensitive data to the wrong systems or usersBuild AI supply chain integrity into the platform. Develop model provenance practices, service vetting, and dependency controls that keep the AI stack trustworthy as it growsPartner with Privacy, Legal, and Data Platform to ensure the right controls are built into pipelines handling real-time location, family relationship data, and data involving minorsSkills15+ years in security engineering with depth in application security, cloud security, IAM, or detection. A track record of building controls that earn adoption, not just approvalSecurity architecture ownership you've defined at the platform level in terms of trust models, data boundary topologies, and long-term viability that produces security outcomes without grinding velocityHands-on fluency with LLM and agentic systems. You've built with these tools, broken them, and shipped fixes for prompt pipelines, RAG architectures, and multi-agent orchestration from the insideDeep grounding in IAM for non-human systems: service identities, OAuth, secrets management, RBAC/ABAC, and least-privilege architecture at scale. You've designed and built identity systems, not just consumed themExperience with production telemetry and detection at an architectural level. You've defined security observability strategies, not just individual detectionsComfort with ambiguity and in-flight builds. You're energized by figuring things out, writing first-draft standards, testing approaches, and scaling what worksStrategic judgement on when to build v. buy and ability to lead the organization to wise investmentsStrong cross-functional communication across engineering, product, legal, privacy, and senior leadership. You carry risk, tradeoffs, and technical decisions without losing precisionYou've contributed or ready to contribute to the security industry. We're shaping these patterns together and you're willing to represent Life360 in these conversationsFamiliarity with NIST AI RMF, OWASP LLM Top 10, and adjacent compliance environments for consumer data at scaleBachelor's degree or equivalent experience in Computer Science, Information Security, or a related fieldExperience with frontier model API security, tool-use authorization patterns, or access governance for AI systems at scaleHands-on experience with multi-agent orchestration frameworks (LangGraph, AutoGen, CrewAI, or similar) and their trust, identity, and authorization challengesFamiliarity with knowledge graph architectures, vector stores, or RAG systems — and the access control and data boundary problems they introduceRed teaming or adversarial testing against AI systems: prompt injection, jailbreaks, data extraction, model inversion, or supply chain attacksBackground in consumer technology or another domain where personal data sensitivity is a core product obligation — not just a legal requirementExperience designing or reviewing security for internal enterprise AI platforms serving non-technical usersBenefitsCompetitive pay and benefitsMedical, dental, vision, life and disability insurance plans (100% paid for employees)401(k) plan with company matching programMental Wellness Program & Employee Assistance Program (EAP) for mental well-beingFlexible PTO, 13 company-wide days off throughout the yearWinter and Summer Weeklong Synchronized Company ShutdownsLearning & Development programsEquipment, tools, and reimbursement support for a productive remote environmentFree Life360 Platinum Membership for your preferred circleFree Tile ProductsCompany OverviewLife360 creates a mobile app for families that helps families feel closer together. It was founded in 2008, and is headquartered in San Francisco, California, USA, with a workforce of 501-1000 employees. Its website is http://www.life360.com.Company H1B SponsorshipLife360 has a track record of offering H1B sponsorships, with 4 in 2026, 15 in 2025, 22 in 2024, 17 in 2023, 21 in 2022, 17 in 2021, 7 in 2020. Please note that this does not guarantee sponsorship for this specific role.