Senior AI Software Engineer
CNA InsuranceAbout the role
You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.
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)
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