Director Model Risk Management - AI/Gen AI

The Hartford

Quick summary

Work type: On-site
Location: Hartford, CT
Salary: $136,000–$204,000 / yr
Posted: 46 days ago
Nearby: 66 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $217k

This role $170k

$121k most similar roles pay here $278k

This role pays less than 81% of similar roles. Most pay $186,609–$247,787 — the shaded band above. At the midpoint, this role pays about $170k versus about $217k 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 52 open roles on FindRole.

Listed pay typically runs $128,000–$192,000 across 52 roles with salary data.

Most-posted roles

View all roles at The Hartford

At a glance

TL;DR · Director Model Risk Management - AI/Gen AI

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The Hartford seeks a Director of Model Risk Management specializing in AI and Generative AI (GenAI) to join its high-performing team. This role involves independently reviewing and validating models to ensure compliance with internal standards and regulatory requirements while enhancing the existing model validation framework for GenAI. Daily responsibilities include assessing model accuracy, robustness, and reliability through quantitative and qualitative testing techniques, designing challenger solutions, and deploying validation tools. The candidate will also educate on best practices and spread awareness of model risk across the enterprise. Ideal candidates hold advanced degrees in relevant fields with extensive experience in machine learning and GenAI, strong programming skills in Python, R, SAS/SQL, and familiarity with tools like Vertex AI, LangChain, and HuggingFace. This role requires a deep understanding of GenAI concepts such as prompt engineering and retrieval-augmented generation (RAG) within the context of insurance product development and risk management.

Skills

Python R SAS SQL VertexAI Google Agent Development Kit LangChain LangGraph RAG frameworks HuggingFace OpenAI APIs GenAI Prompt Engineering Context Engineering Retrieval-Augmented Generation LLM Evaluation Neural Networks CI/CD

What you'll do

Lead end-to-end validation of AI and GenAI models for accuracy and compliance.
Enhance model validation framework by identifying and deploying efficient tools.
Conduct quantitative and qualitative assessments to ensure model reliability.
Educate enterprise on modeling best practices and spread awareness of model risk.
Proactively stay informed of advancements in AI/GenAI technologies and strategies.

What we're looking for

Advanced degree in AI, ML, Computational Science, Engineering, Statistics, Applied Mathematics, Actuarial Science, or Quantitative Economics.
10+ years of industry experience in machine learning/data science with at least 1 year focused on GenAI.
Strong understanding of enterprise-wide governance and risk management frameworks.
Experience with GenAI tools like Vertex AI, LangChain/LangGraph, RAG frameworks, HuggingFace, OpenAI APIs.
Solid programming skills in Python, R, SAS/SQL, and proficiency in GenAI concepts including prompt engineering and LLM evaluation.
Proven ability to independently manage projects, meet deadlines, and adapt to changing priorities.
Excellent communication and collaboration skills for explaining complex technical concepts to non-technical stakeholders.