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The Technical Solutions Engineer will develop and maintain healthcare integrations, troubleshoot issues, create documentation, and guide users while ensuring system interoperability.

Support Project Managers in executing healthcare SaaS client implementations by owning project administration, tracking tasks, RAID logs, meeting notes, client communications, training logistics, and status reporting. Coordinate follow-ups, monitor project health, assist cross-functional teams, and gradually progress to independent ownership of smaller implementations within a structured development path to a full Project Manager role.

Lead design and implementation of the enterprise data platform: architect scalable warehouse/lakehouse solutions, build and optimize ETL/ELT pipelines, enforce data quality and governance, tune analytical workloads, and enable reporting and self-service analytics in support of BI and AI initiatives.

Lead QA strategy and processes for a SaaS platform. Design test automation and API suites, perform manual and exploratory testing, validate data with SQL, integrate testing into CI/CD, drive metrics, and collaborate with product, engineering, and customer success to improve release confidence.

Design, deploy, secure, and operate a scalable Azure-based SaaS platform. Build CI/CD pipelines, automate infrastructure with IaC, manage containers and AKS, optimize databases and networking, implement observability and security, and improve developer platform experience.

The role involves designing predictive models, conducting data analysis, collaborating on optimization models, and mentoring junior analysts to support healthcare decisions.

As a Senior AI Architect, you'll design scalable AI capabilities within a SaaS platform, focusing on architecture, implementation quality, and integration with modern technologies, ensuring operational robustness in production environments.