Alignment Health
501 - 1000 employees
Founded 2013
⚕️ Healthcare Insurance
👥 B2C
💰 $321.1M Post-IPO Debt - Alignment Health on 2024-11
Healthcare Insurance • B2C
Alignment Health is a Medicare-focused health insurance company that offers Medicare Advantage plans and member-centered services. It provides 24/7 on-demand access to care via in-person, in-home, and mobile channels and features a concierge-style on-demand card to help members schedule appointments, arrange transportation, and answer health questions. Alignment Health partners with brokers, providers, Accountable Care Organizations (ACOs), and institutional partners, operates in multiple U. S. states (including Arizona, California, Nevada, North Carolina, and Texas), and has earned high CMS ratings and industry recognition.
Senior AI Automation Engineer
🕒 June 17
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Alignment Health
501 - 1000 employees
Founded 2013
⚕️ Healthcare Insurance
👥 B2C
💰 $321.1M Post-IPO Debt - Alignment Health on 2024-11
Healthcare Insurance • B2C
Alignment Health is a Medicare-focused health insurance company that offers Medicare Advantage plans and member-centered services. It provides 24/7 on-demand access to care via in-person, in-home, and mobile channels and features a concierge-style on-demand card to help members schedule appointments, arrange transportation, and answer health questions. Alignment Health partners with brokers, providers, Accountable Care Organizations (ACOs), and institutional partners, operates in multiple U. S. states (including Arizona, California, Nevada, North Carolina, and Texas), and has earned high CMS ratings and industry recognition.
📋 Description
• Architect and deliver production-grade AI and machine learning systems • Lead the end-to-end design and deployment of predictive and generative AI models • Own architectural decisions related to model selection, scalability, and production readiness • Lead the design and scaling of intelligent process automation • Integrate AI and automation systems into enterprise architecture • Drive adoption of containerization and CI/CD best practices
🎯 Requirements
• 5–8 years of professional experience in software engineering with a focus on AI/ML, data science, or intelligent process automation • Proven track record of independently owning and delivering complex, production-grade AI/ML systems • Demonstrated experience with the full AI/ML model lifecycle at scale • Experience in a regulated industry (healthcare, insurance, or financial services) • Experience architecting and scaling automation solutions using RPA platforms and workflow orchestration tools
🏖️ Benefits
• Health insurance • Paid time off • Flexible work arrangements • Professional development opportunities
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