Principal AI Engineer

CNA Financial

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Chicago, IL
Salary
$97,000–$189,000 / yr
Posted
65 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $212k
This role $143k
$77k most similar roles pay here $285k

This role pays less than 95% of similar roles. Most pay $177,900–$246,150 — the shaded band above. At the midpoint, this role pays about $143k versus about $212k 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 18 open roles on FindRole.

Listed pay typically runs $97,000–$189,000 across 15 roles with salary data.

Most-posted roles

View all roles at CNA Financial

At a glance

TL;DR · Principal AI Engineer

As a Principal AI Engineer, you will provide high-level technical leadership in designing, developing, and scaling an AI-native agentic engineering platform. You will build foundational capabilities including agentic workflows, AI-augmented CI/CD pipelines, multi-agent orchestration patterns, and automated quality gates to enable the organization to deliver secure software at scale. Your daily work involves integrating tools like Claude Code, Cursor, and GitHub Copilot into the delivery lifecycle while establishing standards for context engineering and prompt-to-code workflows. You will utilize technologies such as GCP, GKE, Terraform, and GitHub Actions to manage infrastructure and security requirements. The role addresses the challenge of balancing rapid AI-accelerated development with architectural integrity and compliance. You will also mentor engineers on agentic coding practices and evaluate emerging tools to ensure high-quality, secure software delivery across diverse portfolios.

What does a AI Engineer earn?

Median $211200 from 132 postings across 36 companies.

See salary data

What you'll do

  • Design and scale an AI-native engineering platform featuring agentic workflows, multi-agent orchestration, and skill marketplaces.
  • Integrate AI tools like Claude Code, Cursor, and GitHub Copilot into the software delivery lifecycle.
  • Build automated CI/CD pipelines with integrated quality gates and security guardrails for AI-generated code.
  • Provide technical consultation to leadership on adopting AI-native development practices and evaluating code quality.
  • Mentor engineers across the organization on prompt engineering, agentic coding patterns, and AI-assisted testing.
  • Research and evaluate emerging AI tools and infrastructure while performing build-vs-buy analyses for platform capabilities.
  • Ensure the AI platform complies with enterprise security standards, regulatory requirements, and cloud infrastructure integrations.

What we're looking for

  • Bachelor's Degree in Computer Science, AI/ML, or related discipline (Master's preferred).
  • Minimum of 9 years of experience in software engineering with at least 6 years in application development.
  • At least 2 years of experience building or operating AI-augmented development tools, agentic systems, or developer platforms.
  • Expert knowledge in AI-native practices including agentic coding workflows, prompt/context engineering, and multi-agent orchestration.
  • Proficiency in CI/CD platforms (GitHub Actions), infrastructure-as-code (Terraform), container orchestration (GKE/Kubernetes), and GCP.
  • Strong knowledge of application security engineering, including supply chain security and risks specific to AI-generated code.
  • Experience designing and scaling inner-source or platform engineering programs across large organizations (preferred).
  • Relevant certifications in cloud platforms (GCP, AWS), AI/ML, or security (preferred).

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