
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.
🔥 1 minute ago
Where this job comes from
Posted on Qualified Health's careers page, not through a job board
First seen by Remote Rocketship 1 minute ago

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.
• Set the technical direction and architecture for the Data Platform across multiple teams • Architect and evolve the Databricks lakehouse, including medallion layering, Delta Lake, Unity Catalog governance, and workspace and compute strategy • Design, build, and optimize Spark and SQL pipelines on Databricks • Define data contracts, quality checks, access controls, and PHI-aware governance with security and compliance • Build data foundations for AI products, including LLM-ready datasets, retrieval and vector-store pipelines, evaluation data, and governed interfaces • Design durable Temporal workflows for AI pipelines, including scheduled and watermarked pulls, file ingestion, and long-running LLM extraction and enrichment jobs • Establish retry, idempotency, versioning, backfill, observability, and governance patterns across Databricks and Temporal • Use AI coding agents daily and define team practices for agentic development • Write and review technical designs, set platform standards, and make long-term build-versus-buy decisions • Mentor engineers, unblock teams, and communicate trade-offs to technical and non-technical stakeholders • Shape the roadmap with leadership and measurably improve engineering effectiveness while building complex components hands-on
• Bachelor's Degree in Computer Science, Electrical Engineering, Mathematics or a related field • At least 12+ years of software or data engineering experience • Track record of designing and operating production data platforms at scale and setting architecture across multiple teams • Experience working in a highly regulated domain (Healthcare, Insurance, Finance) required • Deep hands-on expertise with Databricks, or aligned expertise in Snowflake or Microsoft Fabric • Experience with Spark, Delta Lake, Unity Catalog, Workflows or equivalent, and performance and cost tuning at scale • Experience building pipelines for ML or LLM applications • Fluency in Python and SQL • Software engineering practices including testing, CI/CD, infrastructure as code, and code review • Demonstrated practical use of agentic coding tools such as Claude Code or similar • Experience owning ambiguous, cross-team problems end to end and influencing without direct authority • Clear written and verbal communication, including authoring design documents • Healthcare data experience with claims, EHR, FHIR or HL7, and HIPAA-compliant handling of PHI desirable • Databricks certifications or experience with Delta Live Tables, Lakeflow, or Databricks Asset Bundles desirable • Experience with Airflow, Dagster, Prefect, GCP, AWS, Azure, Terraform, or Kubernetes desirable • Contributions to open-source data, workflow, or AI infrastructure projects desirable • Legally authorized to work in the United States for any employer without requiring sponsorship now or in the future
• Equity packages • Medical insurance • Dental insurance • Vision insurance • Flexible working hours • Hybrid work options • Inclusive environment that fosters creativity and innovation
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