$124,500 – $180,000
Listed on Protective Life’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A hands-on technical leadership role overseeing the full machine learning lifecycle—from experimentation through production deployment—on Databricks and Azure for a major life insurance company. This suits experienced engineers who want to mentor teams, set technical standards, and own both strategic direction and day-to-day implementation of ML and generative AI systems in a regulated environment.
Our summary, not Protective Life’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Hands-on technical leadership of ML and GenAI projects
- Ownership of ML lifecycle from experiment to production
- Setting and enforcing engineering standards for ML
- Mentoring ML and data engineers
- Ensuring model reliability, monitoring, documentation, fairness, and explainability
- Working within regulated industry constraints (life insurance)
- Collaboration with product managers, data engineers, and Model Risk teams