Magpie Health Analytics
Magpie Health Analytics is seeking an experienced AI Engineer to design, build, and operate secure, trustworthy generative AI solutions for government health payer clients. The role focuses on developing an AI-enabled decision-support capability that allows users to search and navigate large bodies of program documentation using natural language. The position involves collaborating with cross-functional teams to implement solutions that support both internal and external users while ensuring compliance with federal security controls.
Magpie Health Analytics is a mission-focused small business supporting CMS, HHS-OIG, and their partners with data-driven oversight, program integrity, and risk adjustment analytics. The company offers health IT and data engineering services, including cloud-native infrastructure and data pipeline modernization, as well as AI-enhanced tools leveraging GenAI, NLP, and ML for fraud detection, audit support, and regulatory oversight. Magpie holds a GSA MAS Schedule and serves as a trusted subcontractor on federal healthcare contracts.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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and employee contacts for Magpie Health Analytics.
Magpie Health Analytics didn’t post a salary, so this is our estimate from similar listings.
37% below the average for this role