MedAdvisor Solutions US
201 - 500 employees
🏥 Healthcare
💼 Consulting
⚕️ Healthcare Insurance
Healthcare • Consulting • Healthcare Insurance
MedAdvisor Solutions US is a company that partners with pharmacies and pharmaceutical companies to deliver personalized patient engagement solutions aimed at simplifying the medication management journey and improving health outcomes. They offer data-driven, omnichannel engagement solutions that elevate patient engagement, streamline pharmacy workflows, and drive revenue growth. Their patient engagement programs, supported by AI-powered analytics, help to increase adherence to medications, support new-to-brand patients, and reduce medication void rates. With over 30 years of experience, MedAdvisor Solutions covers over two-thirds of the US population.
Director of Engineering – AI Platform Development
Job not on LinkedIn
🕒 September 8
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MedAdvisor Solutions US
201 - 500 employees
🏥 Healthcare
💼 Consulting
⚕️ Healthcare Insurance
Healthcare • Consulting • Healthcare Insurance
MedAdvisor Solutions US is a company that partners with pharmacies and pharmaceutical companies to deliver personalized patient engagement solutions aimed at simplifying the medication management journey and improving health outcomes. They offer data-driven, omnichannel engagement solutions that elevate patient engagement, streamline pharmacy workflows, and drive revenue growth. Their patient engagement programs, supported by AI-powered analytics, help to increase adherence to medications, support new-to-brand patients, and reduce medication void rates. With over 30 years of experience, MedAdvisor Solutions covers over two-thirds of the US population.
📋 Description
• Architect and build a new platform for Adheris using agentic AI • Own the software and cloud layers of the new platform • Provide technical oversight of the existing core engineering team • Balance building the new platform, initially expected to occupy roughly 70% of the role, with oversight of existing engineering functions • Leverage resources between the platform initiative and core engineering as needed
🎯 Requirements
• Proven record as a hands-on technical leader who still architects and writes production code • Practical fluency in agentic AI development tooling • Deep expertise architecting and running production workloads at scale on a major public cloud • GCP expertise strongly preferred; deep AWS or Azure architecture experience with demonstrated ability to transfer it quickly encouraged • Experience within healthcare, healthcare technology, pharmacy, or other regulated environments strongly preferred • Experience with HIPAA regulations and PHI management strongly preferred
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