We are redefining how clinical teams work by embedding AI directly into Utilization Management (UM) and Care Management (CM) workflows - where decisions impact real patients every day. Our team partners closely with clinical leaders, business stakeholders, and operations teams to identify high value pain points and turn them into scalable, production ready AI solutions that improve efficiency, quality, and clinician experience. This is not a research only or sandbox AI role. Our solutions are actively deployed within clinical workflows, helping nurses, care managers, and clinicians spend less time on manual, administrative effort and more time delivering care. From intelligent case summarization to workflow automation and decision support, we focus on pragmatic AI that delivers measurable impact at scale. As a Lead AI/ML Engineer, you will drive end to end ownership - shaping problem statements with the business, designing and implementing AI/ML solutions, and ensuring they integrate seamlessly into existing platforms and workflows. You will influence technical direction, mentor other engineers, and play a key role in operationalizing AI responsibly within a regulated healthcare environment. If you’re excited about using AI to solve real clinical problems, enjoy working closely with cross functional partners, and want your work to directly improve how care is delivered to patients, this role offers a rare opportunity to do exactly that.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Senior