Build and deploy machine learning models for healthcare claims data, taking them from exploratory analysis through production while monitoring performance and communicating insights to product, engineering, and customer-facing teams.
Adonis jobs
AI-powered revenue cycle management software for healthcare billing.
10 open roles at Adonis
Design and ship production-grade agentic AI systems for enterprise scale, lead technical standards across a backend AI team, and turn emerging research into reliable engineering practices.
Own the full enterprise sales cycle for large health systems and academic medical centers, building executive relationships and closing complex technology partnerships that improve revenue cycle performance.
Own and scale cloud, data, and developer platform infrastructure, setting standards for reliability, security, and performance while enabling product teams to ship safely in a regulated healthcare environment.
Design and build scalable full-stack applications, APIs, and data systems while guiding technical direction, collaborating across teams, and mentoring engineers.
Lead and grow a 4β6-person data platform team, owning its roadmap, architecture, hiring, and production reliability while staying hands-on with code, pipelines, and technical decisions.
Build and operate healthcare data pipelines and core data models, writing production Python and SQL, resolving issues through root cause, and owning components from development through production support.
Build and deploy machine learning models for healthcare claims analytics, owning work across exploratory analysis, production integration, and performance monitoring while partnering with product, engineering, and customer-facing teams.
Lead Adonisβs AI and machine learning strategy, teams, and governance, delivering scalable production solutions that improve healthcare revenue cycle operations and demonstrate measurable value.
Own end-to-end data platform workstreams, building and operating reliable healthcare data pipelines and warehouse infrastructure while shaping architecture, modeling, observability, and production practices.
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