{"id":2401461,"url":"https://alion.io/job/lenovo-ai-system-lead-engineer","title":"AI System Lead Engineer","company":{"id":15044,"name":"Lenovo","domain":"lenovo.com","url":"https://alion.io/company/lenovo","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":{"grade":"A","score":100,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-10-19T05:45:15Z"}},"role":"DevOps","role_family":"DevOps","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":112000,"max_usd":230000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":513},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Kotlin","optional":false},{"name":"Least Privilege","optional":false},{"name":"Rust","optional":false},{"name":"Windows","optional":false},{"name":"Edge AI","optional":true},{"name":"Multimodal AI","optional":true},{"name":"OCR","optional":true}],"status":"live","first_seen_at":"2026-10-12T23:34:18Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-19T22:23:00Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"About Our Team\nLenovo recently introduced Qira, a cross-device Personal AI Intelligence that works seamlessly across Lenovo and Motorola devices, creating intelligent, personalized experiences that span hardware, software, and services. Qira is a key part of Lenovo's vision to deliver AI that is contextual, proactive, and deeply integrated into everyday user experiences.\nWe are currently hiring two System Leads to help shape the next generation of Qira capabilities:\nSystem Lead, Ambient Intelligence: Lead the design and development of ambient, always-on intelligence systems that continuously understand user context across devices and environments.\nSystem Lead, Device & Application Intelligence: Lead the development of AI-powered systems that understand and automate device and application usage patterns.\nBoth roles offer a unique opportunity to influence the core intelligence behind Lenovo's Personal AI vision and help define how millions of users interact with AI across their digital ecosystem.\nLocation: Onsite in Chicago, IL or San Jose, CAWhat You'll Do\nSet roadmap, milestones, and technical standards for the Ambient System team.\nLead and mentor engineers across shared core and platform host work.\nDrive architecture decisions at trust boundaries (native ↔ shared core ↔ UI).\nKeep delivery predictable: clear ownership, healthy planning hygiene, early escalation\nPartner with product, design, security/privacy, and adjacent teams on interfaces and SLAs that support other AI capabilities and experiences\nRepresent the team in architecture, security, and launch reviews\nBasic Qualifications\n8+ years professional software engineering experience\n2+ years leading multi-engineer delivery \nExperience in cross-platform systems with a shared core and per-OS hosts\nDeep systems experience in at least two of: Rust, Kotlin/Android, Windows native, C/C++ systems\nExperience shipping background / always-on workloads (battery, lifecycle, scheduling, resource budgets)\nExperience in privacy-by-design: consent, least privilege, retention/deletion, fail-closed policy paths\nExperience owning API/ABI boundaries between native code and application hosts\nExperience delivering under launch pressure with multiple dependent teams\nPreferred Qualifications\nMultimodal sensing adjacency (screen, audio, sensors, OCR/STT, or similar signal pipelines)\nOn-device or edge ML integration experience (inference consumers, not necessarily model training)\nObservability discipline: structured telemetry without leaking sensitive content\nRemote configuration / kill-switch patterns for production safety\nConsumer device, PC OEM, or mobile platform shipping experience\nExcellent written communication for decisions, risks, and operating cadence\nFamiliarity with secure coding reviews and threat-aware design\nWe are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected 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