AI/ML Engineering Lead — GenAI, MLOps on Azure

Protective is transforming its software approach to a product-led model, focusing on ML/GenAI within the Databricks Lakehouse on Azure. The AI/ML Engineering Lead role drives the end-to-end ML lifecycle, from experimentation to governed production, mentoring teammates and aligning with product and risk teams. You will own MLOps foundations, ensure reliability, monitor costs, and collaborate with Model Risk, Data Governance, and Security to meet regulatory expectations.