CNA Financial Corporation

Senior AI Software Engineer

CNA Financial Corporation$72K — $141K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science or related discipline, or equivalent work experience.
  • Minimum of 7 years of systems analysis and application development experience, including 3+ years in AI solutions.
  • Strong programming skills in Java, Python, and TypeScript; experience with FastAPI and Spring Boot.
  • Experience with Google Cloud Platform services like GKE, BigQuery, and Vertex AI.
  • Familiar with RAG architecture and agentic system design for automation.

Responsibilities

  • Design and build enterprise AI applications using advanced AI methodologies.
  • Evaluate model quality and business effectiveness benchmarks.
  • Implement responsible AI governance and observability measures.
  • Partner with teams to identify and scale impactful AI use cases.
  • Convert prototypes into scalable, production-ready applications.
  • Automate repeatable business processes using AI technology.
  • Develop APIs and microservices to expose AI capabilities.

Benefits

  • Comprehensive and competitive benefits package.
  • Support for physical, financial, emotional, and social wellbeing.
  • Hybrid working model available.
  • Opportunities for professional development and certifications.
Full Job Description
Individual contributor responsible for designing, building, and operationalizing AI-driven solutions that integrate seamlessly into enterprise systems. This role combines hands-on engineering, architecture, and governance, ensuring AI solutions are scalable, secure, compliant, and aligned with business objectives.

JOB DESCRIPTION:

Essential Duties & Responsibilities

Performs a combination of duties in accordance with departmental guidelines:

  • Design and build enterprise AI applications using LLMs, prompt workflows, RAG, and agent-based patterns


  • Evaluate model quality, latency, cost, safety, and business effectiveness


  • Implement responsible AI controls, observability, and governance for production AI systems


  • Partner with architects, product owners, and business teams to identify and scale high-value AI use cases


  • Convert prototypes into production-ready, reliable applications


  • Enable automation of repeatable business processes using AI


  • Develop APIs and microservices to expose AI capabilities


  • Integrate AI solutions with enterprise platforms (claims, document systems, data platforms)


  • Ensure scalability, resiliency, and cost optimization


  • Implement test automation (unit, integration, end-to-end)


  • Apply secure coding practices (OAuth, JWT, secrets management)


  • Mentor engineers and guide AI best practices


  • Collaborate with business units, IT, and vendors


  • Evaluate emerging AI technologies and recommend solutions


May perform additional duties as assigned.

Reporting Relationship

Typically Director or above

Skills, Knowledge & Abilities

  • Strong programming skills in Java, Python, TypeScript, FastAPI, Spring Boot for APIs and services.


  • Experience using AI-enabled development tools such as GitHub Copilot, Claude Code, Cursor, and MCPs.


  • Experience with RAG (Retrieval-Augmented Generation) pipeline architecture and development.


  • Experience with agentic system design for multi-step automation (single-agent and multi-agent), including orchestration, state and memory patterns, tool integration, and safe autonomy controls (permissions, approvals, and auditability).


  • Experience with Google Cloud Platform (GCP), including services such as GKE, Cloud Storage, PostgreSQL, Pub/Sub, Secret Manager, BigQuery, and Vertex AI.


  • Advanced knowledge of designing and building integration platforms, APIs, and web services.


  • Experience with CI/CD automation using tools such as Docker, GKE, GitHub, and GitHub Actions.


  • Strong analytical, problem-solving, and communication skills


  • Experience with SQL/NoSQL data stores (modeling and query optimization)


  • Automated testing experience (unit and integration)


  • Working knowledge of React and front-end fundamentals (components, state, and API integration)


  • Strong understanding of SRE and observability fundamentals (logs, metrics, traces) and how to use them to diagnose distributed system behavior


  • In-depth knowledge of the system development life cycle and of system and application development technology alternatives.


  • Experience working in high-performing Agile teams


  • Excellent communication and interpersonal skills, with the ability to work effectively with peers, IT management and staff, and internal and external business partners and clients.


  • Preferred insurance industry knowledge.


Education & Experience

  • Bachelor's degree in computer science or related discipline, or equivalent work experience.
  • Typically, a minimum of 7 years of systems analysis and application development experience, including 3+ years of experience building AI solutions.
  • Applicable certifications preferred.


#LI-KJ1 #LI-HYBRID

In certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $72,000 to $141,000 annually. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees - and their family members - achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNA's benefits, please visit cnabenefits.com.

CNA utilizes AI-enabled technology during the recruiting process. For more information, please visit our careers page.

About CNA Financial Corporation

CNA Financial Corporation provides commercial property and casualty insurance products primarily in the United States. It offers professional liability coverages and risk management services to various professional firms, including architects, real estate agents, and accounting and law firms; directors and officers, employment practices, fiduciary, and fidelity coverages to small and mid-size firms, public and privately held firms, and not-for-profit organizations; and commercial property, general liability, cyber liability, umbrella, and excess liability, as well as various other property and casualty coverages for healthcare institutions, professional services firms, and other specialized industries. The company also provides warranty and service contracts for consumer goods, and extended service contracts for consumer automobiles and recreational vehicles; and accident and health, and group life insurance products. In addition, it offers management and professional liability insurance and risk management services, as well as other specialized property and casualty coverages to various healthcare organizations, including hospitals, physician groups, and nursing homes. The company markets its products through independent agents, brokers, and general underwriters to various customers, including small, medium, and large businesses; insurance companies; associations; and other industry groups. CNA Financial Corporation was founded in 1853 and is headquartered in Chicago, Illinois.
Learn more about CNA Financial Corporation
Size
5,600 employees
Market Cap
$11.2 billion
Industry
Net Income
$690 million
Founded
1973
5 Year Trend
+4.7%
Revenue
$10.8 billion
NASDAQ

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