Healthcare AI Solutions Engineer
AI summary of the role
Design and build ETL pipelines using PySpark, SQL, and Azure data services to process healthcare data from multiple source systems
What you’ll do
- Develop data quality validation frameworks and troubleshoot integration issues
- Serve as a trusted technical advisor to health system partners, translating complex data and AI concepts into actionable guidance
- Support rapid prototyping of new AI-powered product features in collaboration with product and engineering teams
- Leverage AI-assisted code development tools to accelerate delivery and improve solution quality
What you’ll bring
- 5+ years in data analytics, data engineering, or solution delivery with expertise in data integration and ETL
- Proficiency in PySpark, advanced SQL, and Excel
- Production ETL experience with proper error handling and monitoring
- Healthcare data experience (EHR, claims, clinical, lab data)
Technologies
PySpark · SQL · Azure Databricks · Azure Data Factory · Epic Clarity · FHIR · HL7v2 · DICOM · GitHub Actions · Terraform
About Qualified Health
Enterprise AI governance, agent creation, and monitoring platform enabling health systems to deploy generative AI safely at clinical and operational scale.
Series B · 100–200 people
Source and classification
Implementation & delivery · Evidence for this classification:
in dynamic environments, takes initiative, and drives outcomes without waiting to be told what to do next. In this hands-on consulting role, you’ll design and build robust data pipelines that transform raw healthcare data from diverse sources (Epic, LIMS, PACS, SharePoint, etc.) into production-ready datasets powering our AI platform—while also acting as a trusted technical advisor to our health system partners. You will leverage AI-assisted code development to accelerate delivery and set a new standard for what’s possible at the intersection of healthcare data and artificial intelligence. We are looking for critical thinkers who can independently diagnose ambiguous problems, architect creative solutions, and communicate technical findings clearly to both technical and non-technical audiences. You must be comfortable operating with a consultant’s mindset—adapting quickly to new
More from the job description
Transform healthcare with us. At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change. This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board. Join us in shaping the future of healthcare. Job Summary: Qualified Health is seeking a Healthcare AI Solutions Engineer to serve as a technical implementation specialist and forward-deployed consultant for our healthcare data integration and AI initiatives. This is a fast-paced, high-ownership role for someone who thrives in dynamic environments, takes initiative, and drives outcomes without waiting to be told what to do next. In this hands-on consulting role, you’ll design and build robust data pipelines that transform raw healthcare data from diverse sources (Epic, LIMS, PACS, SharePoint, etc.) into production-ready datasets powering our AI platform—while also acting as a trusted technical advisor to our health system partners. You will leverage AI-assisted code development to accelerate delivery and set a new s [... source excerpt omitted ...] ty of work, and delivering results under tight timelines. You own: Technical implementation, ETL development, data quality validation, pipeline construction, troubleshooting, and production deployment execution, and partner-facing technical consulting Manager owns: Partner relationships, requirements gathering, timeline management, stakeholder communication, issue escalation, and ensuring delivery meets expectations Together you deliver: Successful data integrations that meet partner needs on time with high quality This is a technical role for someone who loves working with data, enjoys solving puzzles, and takes pride in building reliable, production-grade solutions. Key Resp [... source excerpt omitted ...] l code validation, temporal logic checks, referential integrity) Write and maintain technical documentation for data pipelines, transformations, and integration patterns Support production deployments by coordinating with infrastructure teams and conducting final testing Leverage AI-assisted code development tools to accelerate delivery and improve solution quality Client Consulting & Collaboration Serve as a trusted technical advisor to health system partners, translating complex data and AI concepts into clear, actionable guidance Partner with Data Integration Manager to translate partner requirements into precise technical specifications Participate in technical discussio
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