This role pays less than
91%
of similar roles. Most pay
$179,968–$246,300
— the shaded band above.
At the midpoint, this role pays about
$146k
versus about
$213k
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 36 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 role involves managing a predictive model portfolio while expanding into generative AI and agentic AI capabilities across pricing, underwriting, and sales workflows. The engineer will develop data pipelines for training and inference, implement RAG patterns, and manage production services in AWS and GCP environments using CI/CD and orchestration tools like Airflow or Vertex AI Pipelines. Key responsibilities include translating architecture designs into production-ready code, performing code reviews, and mentoring junior engineers. Technical requirements include proficiency in Python, SQL, Git, and automated testing. The role addresses the technical challenge of automating and enhancing the policy lifecycle for employee benefits through robust model monitoring, drift detection, and governed deployment practices.
Machine Learning
Python
PyTorch
C++
CUDA
Kubernetes
LLMOps
RAG
vLLM
Vector Databases
Deep Learning
Natural Language Processing
GenAI
Big Data
AWS
Agile Methodology
Model Quantization