Senior AI Platform Engineer – GenAI & MLOps

CNA Insurance; Chicago (IL); On-site; USD 72,000 - 141,000; Full time

Job summary

CNA Insurance seeks an experienced leader to architect and operate a scalable AI/ML platform for financial services and insurance. The role emphasizes building reusable patterns, end-to-end delivery, and governance across enterprise-grade AI systems.

You will design knowledge grounding and retrieval strategies, ensure safety and compliance, and drive adoption of platform capabilities through collaboration with product teams and stakeholders.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or equivalent required; Master’s degree in AI, Machine Learning, Data Science, or related discipline strongly preferred.
• 8+ years in software engineering and technical delivery, including work on large-scale, distributed enterprise systems across the full SDLC.
• 5+ years hands-on designing, delivering, and operating AI/ML or GenAI platform capabilities in production, with measurable outcomes in quality, reliability, and developer adoption.
• Strong Python proficiency and deep practical GCP experience (Vertex AI, GCP Agent Builder, and Gemini), with the ability to do hands-on technical work as part of the engineering team.
• Prior experience in regulated industries (insurance, financial services, or healthcare) strongly preferred.
• Consulting or enterprise delivery background is a plus.

Responsibilities

• Build, promote adoption of platform-wide standards and templates for AI solutions.
• Drive end-to-end delivery of platform capabilities from discovery to production rollout with hands-on involvement.
• Operationalize the core platform service catalog (LLM gateway, routing, prompt lifecycle, RAG, vector stores, model registries).
• Build and maintain robust CI/CD and AIOps pipelines for AI systems with automated evaluation gates and versioning.
• Implement enterprise-grade multi-agent and single-agent workflow patterns with safe autonomy controls and audit trails.
• Design and implement knowledge grounding systems including hybrid retrieval and knowledge graphs for explainability and auditability.
• Embed responsible AI and compliance-by-design principles across the platform.
• Participate in code and design reviews; contribute to testing, documentation, and operational readiness.

Skills

AI platform design

Multi-agent systems

GenAI patterns

Cloud-native systems

GCP Vertex AI

Knowledge grounding

Responsible AI governance

SDLC engineering

SAFe / Agile

Effective communication

Education

Bachelor’s degree in CS/SE/IT

Master’s in AI/ML/Data Science

Tools

LangGraph

Google ADK

Vector stores

Model registries

CI/CD pipelines

AIOps tooling

Job description

CNA Insurance seeks an experienced leader to architect and operate a scalable AI/ML platform for financial services and insurance. The role emphasizes building reusable patterns, end-to-end delivery, and governance across enterprise-grade AI systems.

You will design knowledge grounding and retrieval strategies, ensure safety and compliance, and drive adoption of platform capabilities through collaboration with product teams and stakeholders.