
51 - 200 employees
🏥 Healthcare
🤖 Artificial Intelligence
☁️ SaaS
💰 $30M Seed on 2025-02
Healthcare • Artificial Intelligence • SaaS
Qualified Health is a healthcare-native enterprise AI platform that unifies AI solutions, governance, integrations, and builder tools for health systems. The company provides an end-to-end platform that connects to clinical, operational, and financial systems to power multiple AI workflows, offers a library of validated AI solutions, agent and workflow builder tools, and built-in governance, oversight, and workforce education. It aims to enable safe, compliant, and measurable AI deployment across health systems and is partnered with major health systems and AI organizations; it reports rapid deployments (15k users in <1 month) and measurable financial and operational impact.
🕒 July 28
Where this job comes from
Posted on Qualified Health's careers page, not through a job board
First seen by Remote Rocketship July 28
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51 - 200 employees
🏥 Healthcare
🤖 Artificial Intelligence
☁️ SaaS
💰 $30M Seed on 2025-02
Healthcare • Artificial Intelligence • SaaS
Qualified Health is a healthcare-native enterprise AI platform that unifies AI solutions, governance, integrations, and builder tools for health systems. The company provides an end-to-end platform that connects to clinical, operational, and financial systems to power multiple AI workflows, offers a library of validated AI solutions, agent and workflow builder tools, and built-in governance, oversight, and workforce education. It aims to enable safe, compliant, and measurable AI deployment across health systems and is partnered with major health systems and AI organizations; it reports rapid deployments (15k users in <1 month) and measurable financial and operational impact.
• Own the technical architecture for modernization engagements: Azure Databricks design, data landing zones, networking, security controls • Lead and develop a team of data engineers and cloud/infrastructure engineers • Lead technical discovery and source data assessments for new engagements • Review and approve all engineering deliverables across concurrent engagements • Personally drive architecture and build for the most complex engagements • Set engineering quality standards and drive architectural decisions across the modernization practice • Maintain and evolve the technical engagement playbook • Ensure environments meet handoff criteria for the Client Integration team • Collaborate with Data Mapping Analysts on source data assessment and validation • This role requires travel to healthcare client sites for engagement kickoffs, technical discovery sessions, and key milestones.
• Bachelor's degree in Computer Science, Engineering, or a related field • 6+ years in data engineering or data platform roles, with demonstrated technical leadership • Deep Azure expertise: Databricks, ADLS2, Azure networking, managed identities, Terraform/Bicep • Experience with data platform design and deployment (greenfield builds) • Client-facing experience — comfortable leading technical conversations with health system IT teams
• Competitive salaries with equity packages • Robust medical/dental/vision insurance • Flexible working hours • Hybrid work options • Inclusive environment that fosters creativity and innovation
Apply Now🕒 July 28
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