{"id":4062947,"url":"https://alion.io/job/circadia-health-forward-deployed-ai-engineer","title":"Forward Deployed AI Engineer","company":{"id":16491,"name":"Circadia Health","domain":"circadiahealth.com","url":"https://alion.io/company/circadiahealth","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":76,"open_postings":7,"ghost_share":0,"stale_share":0.857,"repost_share":0.143,"time_to_fill_p50_days":35,"computed_at":"2026-11-11T05:49:22Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["El Segundo, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":90000,"max":120000,"currency":"USD","period":"year","gross":null,"usd_annual":120000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"HIPAA","optional":true}],"status":"live","first_seen_at":"2026-11-11T05:50:04Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T09:49:05Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the Role\nAs our Forward Deployed AI Engineer, you’ll sit at the point where Circadia’s AI meets our customers’ day-to-day care operations. You’ll work hands-on with skilled-nursing, home-health and home-care partners to deploy, integrate and tailor the Circadia Intelligence Platform to their workflows. You’ll partner closely with Engineering, Data Science, Product and Customer Success to turn customer needs into working solutions, and bring what you learn in the field back into the core product.\nWhat You’ll Do\nLead technical deployments of the Circadia Intelligence Platform at customer sites, from scoping through go-live and adoption\nBuild and maintain integrations that bring Circadia’s predictions into customer EHR, care-coordination, billing and compliance workflows\nConfigure, adapt and evaluate AI and predictive-model workflows (including LLM-based tools) for each customer’s clinical and operational context\nWork directly with clinical and operations stakeholders to understand their workflows and translate their needs into technical requirements and working solutions\nDiagnose and resolve deployment, data-quality and integration issues in production\nFeed field insights back to Product, Engineering and Data Science to shape the roadmap and make future deployments faster and repeatable\nBuild reusable tooling, documentation and playbooks for customer onboarding\nMust-Have Qualifications\nDegree (in progress or completed) in Computer Science, AI/ML, Data Science or a related field\nRelevant AI/ML coursework and hands-on projects, including LLM-based applications\nProgramming skills in Python, with familiarity with APIs and SQL\nClear communication with technical and non-technical people\nNice-to-Haves\nExperience with healthcare data, EHR systems or post-acute / senior-care settings\nFamiliarity with HIPAA and working with protected health information\nExperience with cloud platforms (AWS, GCP or Azure) and containerized deployments\nExperience at an early- or growth-stage 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