CalOptima Health interview preparation.

Experience evaluating AI or machine learning model outputs, including hallucination detection and algorithmic bias auditing.

Demonstrated experience with prompt engineering or working with large language model-based tools in a professional setting.

Experience working within a regulated industry environment with strict data governance and compliance requirements (e.g., government, healthcare).

Experience with Azure OpenAI Service including prompt engineering, RAG pipeline design, and grounding LLM solutions in enterprise data.

Experience with intelligent automation in an enterprise environment.

Experience working within a government cloud or other highly regulated cloud environment with strict data governance, compliance, and security requirements.

3 years of experience working with healthcare payer data.

5 years of experience developing SQL-based transformations, reporting datasets, stored procedures or equivalent data models, and reports using enterprise BI tools such as Power BI, Tableau, SSRS, or comparable platforms.

3 years of experience with utilization management, prior authorization, inpatient/outpatient authorization, care management, appeals, delegated network reporting, or regulated healthcare payer data and reporting required.