Healthcare AI Solutions Engineer

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 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 partner environments, earning trust through quality 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.

Design and build ETL pipelines using PySpark, SQL, and Azure data services to process healthcare data from multiple source systems

Execute data extraction and transformation operations on complex healthcare datasets, ensuring accuracy and compliance with established standards

Develop data quality validation frameworks to identify and resolve issues during integration, QC, and backtesting phases

Troubleshoot technical issues including data schema mismatches, transformation logic errors, and performance bottlenecks -- independently diagnosing root causes and driving resolution

Build reusable data components and standardized integration patterns that accelerate future implementations

Optimize pipeline performance for large-scale healthcare datasets, ensuring efficient processing and resource utilization

Implement data validation rules specific to healthcare contexts (e.g., clinical 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

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 discussions with partner IT teams to understand data schemas, access methods, and integration constraints

Provide expert guidance on data mapping specifications, transformation approaches and architecture decisions

Identify data quality issues and work with Manager to coordinate resolution with partners

Communicate technical findings from QC and backtesting clearly to both technical and non-technical stakeholders

Adapt consulting approach and communication style to the culture and maturity of each partner enviornment

Contribute to continuous improvement of tools, processes, and technical standards

Support rapid prototyping of new AI-powered product features and data capabilities in close collaboration with product and engineering teams

Translate partner use cases and field insights into prototype solutions that demonstrate the potential of the Qualified Health platform

Build and iterate on proof-of-concept integrations and analytical tools to test new approaches before full-scale implementation

Leverage AI-assisted development practices to compress prototyping cycles and explore solutions at speed

Document learnings and outcomes from prototyping efforts to inform product roadmap decisions and reusable patterns

Bring a builder’s mindset to ambiguous problem spaces , moving quickly from idea to working demonstration

Our data infrastructure is built on modern cloud technologies including:

Azure Databricks + Data Factory (plus Fabric and Snowflake integrations)

PySpark for distributed data processing

GitHub Actions + Terraform for CI/CD and Infrastructure as Code

Python with type-safe patterns and modern frameworks

AI-assisted development tooling for accelerated engineering

Healthcare data formats including FHIR, Epic Clarity, and other EHR schemas

High-quality data pipelines delivered on schedule with thorough testing and documentation

Proactive issue identification with technical problems caught and resolved before impacting partners

Reusable components that reduce implementation time for subsequent integrations

Clean production deployments with minimal post-launch issues

Technical credibility with partner IT teams based on quality of work

Efficient troubleshooting with quick diagnosis and resolution of data quality issues

As a Healthcare AI Solutions Engineer at Qualified Health, you'll build the data infrastructure that powers AI-driven insights for major health systems. Your work directly enables better patient care by ensuring high-quality, reliable data flows into clinical decision support tools. This role offers deep technical learning in healthcare data, exposure to diverse health system architectures, and growth potential into senior technical or platform architecture roles as we scale.

This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.

Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation.

Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.