Senior AI Machine Learning Engineer

The Hartford

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Chicago, ILColumbus, OHHartford, CTCharlotte, NC
Salary
$117,200–$175,800 / yr
Posted
22 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $212k
This role $146k
$100k most similar roles pay here $280k

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.

Most-posted roles

View all roles at The Hartford

At a glance

TL;DR · Senior AI Machine Learning Engineer

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.

What you'll do

  • Manage and modernize the existing predictive model portfolio for pricing, underwriting, and sales workflows.
  • Build, deploy, and maintain AI/ML components and data pipelines across the policy lifecycle.
  • Translate architectural designs into production-ready code, including automated testing and documentation.
  • Develop generative AI and agentic AI solutions using RAG patterns and prompt orchestration.
  • Operate batch and real-time data pipelines for model training, feature generation, and inference.
  • Deploy and sustain AI services in AWS and GCP environments following CI/CD and security protocols.
  • Mentor junior engineers by reviewing code and explaining complex model and data pipeline patterns.
  • Maintain governance artifacts including lineage, monitoring metrics, and operational control documentation.

What we're looking for

  • Bachelor's degree in a related field or 6+ years of equivalent experience in software, data, ML/DevOps, or applied AI engineering.
  • Master's degree in computer science, engineering, information technology, MIS, or data science is preferred.
  • Proficiency in Python, SQL, SDLC practices, Git-based development, and automated testing for production-grade code delivery.
  • Experience deploying and operating data, AI, or ML workloads in AWS and GCP environments.
  • Expertise in ML engineering concepts including feature pipelines, model training workflows, inference services, and drift detection.
  • Ability to lead implementation work, mentor junior engineers, and manage multiple deliverables with limited supervision.
  • Experience with generative AI or agentic AI patterns, including RAG, prompt orchestration, and LLM integration.

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