Quick overview
Job description
Protective Life is transforming how it builds and operates software — moving to a product operating model organized around empowered, outcome-oriented teams — and is investing in machine learning and generative AI to serve customers and run the business better. Voyager is one of these product pods, spanning our Life, Annuities, and Employee Benefits lines.
The AI/ML Engineering Lead is a hands-on technical leader who owns the path from experiment to governed production for machine learning and GenAI on our Databricks Lakehouse on Microsoft Azure. You will set the engineering standards for the ML lifecycle, mentor ML and data engineers, and personally deliver critical components — while working closely with product managers, data engineers, and Model Risk partners. As a regulated life insurer, we hold models to disciplined standards: this role is accountable not only for shipping models but for their reliability, monitoring, documentation, fairness, and explainability.
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