[Remote] Sr. Staff 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 and safe through innovative technology. They are seeking a Sr. Staff AI Security Engineer to secure their AI infrastructure, driving delivery across key security domains while contributing to design decisions that shape the platform. The role involves building and validating security patterns and controls to protect sensitive data and ensure compliance.ResponsibilitiesSecure how Life360 accesses frontier models. Design, build, and iterate the access controls, policy enforcement, and authorization patterns that govern how systems interact with the frontier models they rely onBuild secure patterns for MCP access and tool use authorization. Build and own the controls that vets, risk-tier, and govern how we integrate with external tools and services via MCP as adoption expands across engineering teamsDesign and build the identity and authorization model for autonomous agents: service identities, scoped credentials, and least-privilege access patterns. Define and enforce the trust boundaries that govern how agents interact across orchestration chainsDesign and build agentic observability and adversarial defenses. Build the telemetry pipelines and behavioral monitoring that provide visibility into AI system behavior. Implement architecture-level defenses against prompt injection and related adversarial attack classesShape security for the common AI end-user platform. Lead design reviews, build access controls, data boundary enforcement, and abuse detection that keep a shared AI environment safe across users with different privilege levelsSecure the shared knowledge layer. Define access control and data governance for retrieval augmented and reasoning systems, ensuring AI-powered tools don't 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 minorsSkills12+ years in security engineering with depth in application security, cloud security, IAM, or detection — and a track record of building controls that earn adoption, not just approvalHands on builder shipping security controls that hold up in production. You're not an advisor but a practitioner that can define patterns that lastHands-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 insideSolid grounding in IAM for non-human systems: service identities, OAuth, secrets management, RBAC/ABAC, and least-privilege architecture at scaleExperience with production telemetry and detection — defining detections and building response paths for threat surfaces without established playbooksComfort with ambiguity and in-flight builds. You're energized by figuring things out — writing first-draft standards, testing approaches, and scaling what worksStrong cross-functional communication and the ability to push back when it matters. You carry risk, tradeoffs, and technical decisions across engineering, product, and security leadership without losing precision — and can reshape a risky decision clearly and constructivelyFamiliarity 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.