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
About The Hartford
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.
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 translate architectural designs into production-ready code, manage data pipelines for training and inference, and mentor junior engineers. The role requires expertise in Python, SQL, Git, and CI/CD practices within AWS and GCP environments. Key responsibilities include implementing RAG patterns, prompt orchestration, and model monitoring while ensuring governance and security standards are met. This position addresses complex business problems within the insurance industry, specifically focusing on automating and enhancing the policy lifecycle for employee benefits customers through advanced machine learning technologies.
Machine Learning
Python
Java
C++
Spark
SQL
Snowflake
Hadoop
TensorFlow
Keras
PyTorch
Generative AI
RAG
Transformer Architecture
Deep Learning
Reinforcement Learning
Distributed Systems
Data Processing Pipelines