{"id":4046424,"url":"https://alion.io/job/life360-principal-agentic-engineer-ai-ecosystem","title":"Principal Agentic Engineer, AI Ecosystem","company":{"id":7774,"name":"Life360","domain":"life360.com","url":"https://alion.io/company/life360","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Context Engineering","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Knowledge Graph","optional":true},{"name":"LLM Guardrails","optional":true}],"status":"live","first_seen_at":"2026-11-10T20:03:00Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-11T00:09:04Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About Life360\nLife360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 107.7 million million monthly active users (MAU), as of September 30, 2026, across more than 180 countries. \nLife360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).\nLife360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.\nLife360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above. \nWe are AI Native\nWe are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.\nUndisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.\nAbout The Team\nLife360's AI ecosystem is being built by three teams working from a shared 2027 vision, each owning a distinct layer:\nAI Platforms - the foundational infrastructure and company-wide AI governance: gateways and MCP connector infra, cost and spend controls, observability and safety guardrails, the agent deployment/orchestration platform, and knowledge graphs.\n AI Dev Tooling (AI DevX) - AI-powered developer tools that remove friction across the software development lifecycle: coding assistance and productivity tooling, automated and agentic testing, and the codified primitives (CLAUDE.md, evals) that make shared and monolithic repos legible to AI.\nAgentic PDLC - agents that remove humans from common, repetitive product-development work: on-call investigation, bug triage, code review, and release, consolidated under a single owner instead of being built ad hoc team-by-team.\nThese teams deliberately don't own everything. A set of foundational questions - non-human identity and agent authZ, model regression eval frameworks, workflow/agent eval infrastructure, atomic agent-unit definitions, agent standards for what an agent can never do - sit in the shared space between them, ready to be addressed. \nAbout the Job\nWe're hiring a Principal-level Agentic Engineer to hold the system view across AI Platforms, AI DevX, and Agentic PDLC - and to give the unowned middle ground between them an owner. This is not a coordination role. You'll have clear, end-to-end ownership of a defined set of cross-cutting problems, not an open-ended advisory brief. It's an architecture-and-build role for someone who can define what an \"agent\" is as a reusable unit at Life360, set the standards that make agents safe and evaluable, build an ecosystem that supports our agents, and then help each team build to that architecture. In addition, this role will craft the vision for how our broad agent ecosystem will evolve into the future. \nThe role operates at two altitudes, and needs to be genuinely strong at both:\nStrategic: set the technical vision for Life360's AI-Native developer ecosystem - the architecture that lets AI Platforms, AI DevX, and Agentic PDLC build against shared primitives instead of re-solving the same problems three times.\n Tactical: get into the core components yourself - agent execution frameworks, context and retrieval systems, eval harnesses, identity and authZ for unattended agents - and ship the parts that are too foundational to leave to any one team, or that no team currently owns.\nYou'll partner closely with the AI Platforms, AI Dev Tooling, Agentic PDLC, and our Product leadership (as their technical counterpart), but you won't report through any single one of them - your mandate is the seams between all of them.\nThe US-based salary range for this position is $247,000 to $363,000. We take into consideration an individual's background, job-related knowledge, skills, and experience in determining final salary. Base pay may also vary based on geographic location, with US work locations falling into one of three geographic tiers.\nTotal compensation is inclusive of equity compensation in the form of Restricted Stock Units (RSUs), as well as a comprehensive benefits package, including medical, dental, vision, financial, and other benefits. \nWhat You'll Do\nArchitect across the ecosystem\nHold the system view across AI Platforms, AI DevX, and Agentic PDLC, so investments compose instead of collide.\nDrive build-vs-buy decisions for PDLC-critical agents, and for ecosystem-wide capabilities where an outside vendor may out-deliver an internal build.\nBuild the ecosystem that supports agents as we define them today and shapes how they evolve: execution frameworks, context and retrieval systems, and telemetry that treat token spend as a first-class design constraint.\nDefine & own the unowned middle\nDefine what an agent is at Life360 - a reusable unit, the interface it exposes, and the standards it must meet (human-in-the-loop and blast-radius policy, eval standards, promotion gates) - in partnership with AI Platforms, who will operate the resulting infrastructure long-term.\nDesign the non-human identity and agent authZ model that unblocks scheduled and unattended agents across every team.\nStand up eval and regression infrastructure (framework, CI hooks, result storage) as a shared capability rather than three parallel bets.\nBuild, hands-on\nAvoid “ivory tower” syndrome by shipping production code against the highest-leverage components yourself - you're a builder first, not an advisor who hands off specs.\nGet close to live bets, such as the on-call investigation agent, to validate the architecture under real usage and economics, and prototype and de-risk the hardest pieces before asking any team to commit engineering time.\nLead without owning the org chart\nMentor Agentic Engineers and Staff engineers across all three teams on agent architecture, context engineering, and evaluation rigor, and help grow the senior technical bench.\nWrite the architecture decision records, standards docs, and playbooks that AI Platforms, AI DevX, and Agentic PDLC can each build against independently, and represent a coherent technical point of view in build-vs-buy and roadmap discussions, even without formal authority over the teams involved.\nWhat We're Looking For\n12+ years of engineering experience, including deep platform or systems architecture work at consumer scale (50M+ MAU or equivalent preferred).\nDemonstrated experience architecting agentic systems in production - not just using AI coding tools, but designing the frameworks, identity models, and eval infrastructure that other agents run on.\nDirect experience with non-human identity, service-account, or agent authZ models - or a clear, well-reasoned point of view on how to build one.\nExperience designing and consuming structured interfaces for AI systems (MCP-style tool definitions, JSON Schema, OpenAPI) and building for tool-calling and contract-first agent development.\nA track record of building eval and regression frameworks for AI systems - promotion gates, scoring, and CI integration - not just running evals ad hoc.\nStrong architectural instincts across multiple services and teams, with the judgment to know which problems deserve a shared platform investment and which don't.\nFluency in AI economics - token cost as a design constraint, progressive retrieval, and the tradeoffs between centralizing and forking model usage.\nA track record of driving technical direction across teams you don't manage - through documentation, prototypes, and demonstrated results rather than mandates.\nExcellent written communication: architecture decision records, standards, and playbooks precise enough for other engineers (and their agents) to build against directly.\nBonus Points\nExperience building or operating an agent orchestration or deployment platform, or an MCP-style connector gateway.\nBackground in ML infrastructure, model observability, or production AI systems at a company that has been through a comparable AI-native transformation.\nExperience with mobile engineering (iOS/Android) or high-throughput cloud systems, and how agent architecture needs to flex across both.\nOur Benefits\nMedical, dental, vision, life and disability insurance plans (100% paid for employees)\nPaid parental leave\n401(k) plan with company matching program\nMental Wellness Program & Employee Assistance Program (EAP) for mental well-being\nGenerous time off: flexible PTO, companywide holidays throughout the year plus summer and winter shutdowns\nLearning & Development programs\nEquipment, tools, and reimbursement support for a productive remote environment\nFree Life360 Platinum Membership and Tile trackers\nAI Usage: We use AI to help make our hiring process efficient. That said, every hiring decision is made by real Life360 hiring teams\nLife360 Values\nOur company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference \nBe a Good Person - We have a team of high integrity people you can trust. \nBe Direct With Respect - We communicate directly, even when it’s hard.\nMembers Before Metrics - We focus on building an exceptional experience for families. \nHigh Intensity, High Impact - We do whatever it takes to get the job done. \nOur Commitment to Belonging\nLife360 is an equal opportunity employer. We don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected status. We believe diverse perspectives make us better, and we’re building a workplace that reflects the communities we serve. 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