below marketmost similar roles pay hereabove market
This role pays less than
98%
of similar roles. Most pay
$195,787–$245,687
— the blue band above.
At the midpoint, this role pays about
$143k
versus about
$221k
for comparable roles.
Based on 240 similar postings.
Employer
About CNA Financial
CNA Financial is a Chicago-based commercial property and casualty insurance company, offering business insurance and risk-management services to companies across the United States and internationally.
CNA Financial currently has
13 open roles
on FindRole.
Listed pay typically runs
$93,000–$141,000
across 9 roles with salary data.
The Principal AI Engineer serves as a high-level technical leader within the AI-native engineering platform team. This role focuses on designing, developing, and scaling foundational platform capabilities that enable the broad engineering organization to build and run secure AI-native systems. Key responsibilities include designing agentic workflows, AI-augmented CI/CD pipelines, multi-agent orchestration patterns, and automated quality gates. The engineer will integrate tools like Claude Code, Cursor, and GitHub Copilot into the software delivery lifecycle while managing infrastructure using GCP, GKE, Terraform, and GitHub Actions. The role addresses the technical challenge of balancing AI-accelerated delivery speed with architectural integrity, security posture, and regulatory compliance. Success requires expertise in prompt engineering, MCP protocol, and managing risks like dependency hallucination or prompt injection within enterprise environments.
What does a AI Engineer earn?
Median $211200 from 139 postings across 39 companies.
LLM Orchestration
RAG
Python
C#
Azure
Microservices
CI/CD
Infrastructure as Code
Containers
APIs
Distributed Systems
Prompt Engineering
Observability
Machine Learning
Agentic AI
C++
Java
JavaScript
C
System Design
Generative AI
LLMs
Agentic AI
RAG
Python
Java
LangChain
Google Vertex AI
AutoGen
Semantic Kernel
Docker
Kubernetes
OpenShift
CI/CD
Microservices
Deep Learning
Natural Language Processing
Computer Vision
APIs
Machine Learning
Deep Learning
Python
TensorFlow
PyTorch
Natural Language Processing
Computer Vision
Java
C++
Git
Agile
Data Mining
Data Modeling
Statistical Modeling
Distributed Computing
Neural Networks
CNN
RNN
GAN