{"id":1019682,"url":"https://alion.io/job/lyra-health-manager-aiml-engineering","title":"Manager, AI/ML Engineering","company":{"id":4756,"name":"Lyra Health","domain":"lyrahealth.com","url":"https://alion.io/company/lyra-health","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"C","score":60,"open_postings":405,"ghost_share":0.674,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":47,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Management","role_family":"Management","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":161000,"max":221500,"currency":"USD","period":"year","gross":null,"usd_annual":221500},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"HIPAA","optional":true},{"name":"Java","optional":true},{"name":"Kotlin","optional":true},{"name":"SOC 2","optional":true}],"status":"live","first_seen_at":"2026-09-17T21:52:45Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-11-12T14:35:09Z","board_verified":true,"closed_at":null,"days_open":55,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":55},"description":"About the Role:\nWe are looking for a strategic leader to spearhead the execution of Lyra's machine learning roadmap. In this capacity, you will scale and mentor a high-impact AI/ML engineering team, ensuring our technical vision translates into production-grade systems that operate with clinical precision and high-availability reliability.\nThe ideal candidate is an experienced engineering manager who excels at balancing long-term technical strategy with hands-on people leadership. You possess a deep passion for developing technical talent, building robust cross-functional partnerships, and cultivating a culture of operational excellence within an AI-driven organization.\nWhy Lyra?\nCollaborative Innovation: Thrive on working alongside brilliant colleagues to solve complex, mission-critical challenges.\n\nSocial Impact: Are deeply motivated by making a tangible difference and supporting individuals during their most vulnerable moments.\n\nCross-Functional Partnership: Enjoy collaborating with a diverse group of physicians, therapists, data scientists, and product leaders.\n\nResponsibilities\nExceptional People Leadership: Facilitate technical growth through weekly 1:1s, performance management, and clearly defined career trajectories for machine learning engineers.\n\nRoadmap & Strategy Ownership: Drive the quarterly planning lifecycle for AI/ML workstreams, prioritizing essential initiatives like clinical program mapping while ensuring alignment with broader business objectives.\n\nCultivate Engineering Culture: Establish an inclusive, high-performance environment by championing knowledge sharing, mentorship, and rigorous technical standards across the ML organization.\n\nStrategic Technical Influence: Collaborate with Product Management and Data Science leads to transform complex clinical requirements into robust, safety-oriented production models.\n\nML SDLC Oversight: Maintain a high technical bar through design reviews, guiding the evolution from experimental research to stable microservices deployed on Kubernetes.\n\nMultiplicative Technical Vision: Provide leadership through strategic architectural guidance and prototypes, focusing on scaling your team's collective impact and technical reach.\n\nQualifications\nProven experience in engineering management, specifically leading and scaling high-performing ML/AI teams within production environments.\n\nExceptional People Leadership: Strong ability to develop technical talent, manage performance, and build a collaborative team culture.\n\nStrategic Mindset: Demonstrated experience balancing long-term technical strategy and model governance with day-to-day people leadership.\n\nDeep ML/AI Domain Expertise: Strong technical foundation in machine learning systems (transformers, neural networks, fine-tuning) with the ability to lead others in these domains.\n\nOperational Excellence: Mastery of the ML SDLC, including dataset lineage, automated evaluation, and deploying microservices at scale.\n\nCloud Architecture: Strong experience architecting cloud-native solutions on AWS (or equivalent cloud providers).\n\nStrategic Communication: Exceptional ability to distill highly ambiguous technical problems into clear strategic priorities and influence leadership across engineering, product, and business domain disciplines.\n\nPreferred Qualifications\nPolyglot Engineering Background: Experience writing high-performance production code in Java or Kotlin.\n\nHealthcare & Sensitive Data Expertise: Experience architecting AI/ML systems within highly regulated environments (HIPAA compliance, SOC2, handling PHI/PII).\n\nMLOps / Platform Productization: Experience building internal developer platforms or ML tooling used by dozens of data scientists and engineers.","description_format":"text","description_chars":3726,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Digital Mental Health"],"lifecycle":[{"event":"open","at":"2026-09-18T03:31:29Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 3 · green card filings: 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