Principal AI Security Engineer, AI Native Platform

Life360

18h•Remote

About The Position

Life360 is seeking a Principal AI Security Engineer to join their AI Native Platform team. This role is crucial for securing the company's AI infrastructure as it develops. The engineer will be responsible for defining security architecture, including trust models, authorization frameworks, data boundary topologies, and threat models. They will ensure these patterns are coherent across various platform layers, including model access, agent infrastructure, the knowledge layer, and the end-user platform. The position requires both architectural depth and hands-on execution, with a focus on building secure systems that protect sensitive user data, such as real-time location and family relationship graphs. This is not a compliance exercise but a core product obligation. The role involves working alongside other security engineers and the broader platform team, with the expectation that the security function will grow with the platform.

Requirements

15+ 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 approval.
Security architecture ownership at the platform level, including trust models, data boundary topologies, and long-term viability.
Hands-on fluency with LLM and agentic systems, including building, breaking, and fixing prompt pipelines, RAG architectures, and multi-agent orchestration.
Deep grounding in IAM for non-human systems: service identities, OAuth, secrets management, RBAC/ABAC, and least-privilege architecture at scale.
Experience with production telemetry and detection at an architectural level, including defining security observability strategies.
Comfort with ambiguity and in-flight builds; energized by figuring things out, writing first-draft standards, testing approaches, and scaling what works.
Strategic judgment on when to build vs. buy and ability to lead the organization to wise investments.
Strong cross-functional communication across engineering, product, legal, privacy, and senior leadership.
Willingness to represent Life360 in security industry conversations.
Familiarity with NIST AI RMF, OWASP LLM Top 10, and adjacent compliance environments for consumer data at scale.
Bachelor's degree or equivalent experience in Computer Science, Information Security, or a related field.

Nice To Haves

Experience with frontier model API security, tool-use authorization patterns, or access governance for AI systems at scale.
Hands-on experience with multi-agent orchestration frameworks (LangGraph, AutoGen, CrewAI, or similar) and their trust, identity, and authorization challenges.
Familiarity with knowledge graph architectures, vector stores, or RAG systems — and the access control and data boundary problems they introduce.
Red teaming or adversarial testing against AI systems: prompt injection, jailbreaks, data extraction, model inversion, or supply chain attacks.
Background in consumer technology or another domain where personal data sensitivity is a core product obligation.
Experience designing or reviewing security for internal enterprise AI platforms serving non-technical users.

Responsibilities

Own the security strategy for frontier model access and MCP governance.
Define how we securely connect to frontier models and external tool integrations, including the risk framework, authorization architecture, and escalation model.
Architect the identity and trust model for non-human agents, defining authentication, trust establishment and revocation, and model evolution.
Set the adversarial defense posture for AI systems in production, defining approaches to prompt injection defense, adversarial input handling, and behavioral monitoring.
Shape security architecture for the common AI end-user platform, leading design reviews and building access controls, data boundary enforcement, and abuse detection.
Secure the shared knowledge layer by defining access control and data governance for retrieval and reasoning.
Build AI supply chain integrity into the platform, developing model provenance practices, service vetting, and dependency controls.
Partner with Privacy, Legal, and Data Platform to ensure appropriate controls are built into pipelines handling sensitive data.

Benefits

Competitive pay and benefits
Medical, dental, vision, life and disability insurance plans (100% paid for employees)
401(k) plan with company matching program
Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being
Flexible PTO
13 company-wide days off throughout the year
Winter and Summer Weeklong Synchronized Company Shutdowns
Learning & Development programs
Equipment, tools, and reimbursement support for a productive remote environment
Free Life360 Platinum Membership for your preferred circle
Free Tile Products