Senior AI Machine Learning Engineer
The Hartford
Quick summary
Market check
How this pay compares to similar roles
This role pays less than 90% of similar roles. Most pay $177,425–$246,150 — the shaded band above. At the midpoint, this role pays about $146k versus about $212k for comparable roles.
Based on 240 similar postings.
Employer
The Hartford is a leading provider of property and casualty insurance, group benefits, and mutual funds, serving businesses and individuals across the United States. Industry: Insurance & Financial Services
The Hartford currently has 45 open roles on FindRole.
Listed pay typically runs $127,600–$191,400 across 37 roles with salary data.
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At a glance
The Senior AI Machine Learning Engineer joins the Employee Benefits Applied AI and Analytics team to build, deploy, and sustain enterprise-scale predictive and applied AI solutions. This hands-on technical lead role involves managing a predictive model portfolio while expanding into generative AI and agentic AI capabilities across pricing, underwriting, and sales workflows. You will develop data pipelines for training and inference, implement prompt orchestration and retrieval-augmented generation patterns, and manage production services in AWS and GCP environments. The role requires expertise in Python, SQL, Git-based development, and CI/CD practices to deliver governed assets. You will also mentor junior engineers and ensure model governance across the policy lifecycle. The work focuses on solving complex insurance business problems by automating and enhancing underwriting, pricing, and service operations through advanced machine learning technologies and robust engineering standards.
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