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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.

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

Provide Tier 1/2 customer support for TeamBuilder's SaaS platform, handling 10-20 tickets daily, resolving issues, guiding product adoption, escalating when needed, and collaborating with product and implementation teams to improve processes and documentation. Participate in shift coverage across time zones.

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.

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.