Senior AI Platform Engineer

CNA Financial; Chicago (IL); On-site; USD 150,000 - 210,000; Full time

Job summary

CNA Financial seeks an experienced Senior AI Platform Engineer to build and scale AI/ML platforms for financial services and insurance. You will own platform capabilities from discovery to production rollout, including LLM gateways, RAG pipelines, and automated evaluation tools.

The role emphasizes responsible AI, governance, and audit-ready infrastructures, with hands-on work on multi-agent workflows and hybrid retrieval systems. Chicago-based with enterprise-scale impact.

Qualifications

• Hands-on experience building enterprise AI platforms and ML pipelines.
• Experience with model serving, prompts, and RAG pipelines.
• Ability to implement trusted AI and governance.
• Experience with cloud-native distributed systems.
• Proficiency in Python.

Responsibilities

• Build and promote adoption of platform-wide standards, reusable design patterns, and golden-path templates that enable product and feature teams to build, deploy, and operate AI solutions safely and consistently.
• Drive end-to-end delivery of new platform capabilities, from technical discovery and design through prototyping, hardening, and full production rollout, with hands-on involvement at critical technical milestones to ensure quality and coherence.
• Build and operationalize the core platform service catalog, including LLM gateway and routing layers, prompt lifecycle management, agentic orchestration frameworks, Retrieval-Augmented Generation (RAG) pipelines, vector stores, model registries, and rigorous automated evaluation infrastructure.
• Build and maintain robust CI/CD and AIOps pipelines for AI systems, incorporating automated evaluation gates, model and data versioning controls, staged deployment promotion, and continuous cost and performance optimization guardrails.
• Implement enterprise-grade multi-agent and single-agent workflow patterns for high-value business use cases, following clear standards for orchestration design, state and memory management, tool and API integration, and safe autonomy controls, including human-in-the-loop approvals, permission scoping, and comprehensive audit trails.
• Design and implement knowledge grounding systems, including hybrid retrieval strategies, semantic reranking, ontology-driven entity modeling, and knowledge graph integration, to measurably improve AI output accuracy, explainability, traceability, and readiness for regulatory audit.
• Embed responsible AI and compliance-by-design principles across the platform, covering data privacy protections, enterprise secrets management, granular access controls, output leakage prevention, and model risk governance practices aligned to enterprise and regulatory standards.
• Participate in code and design reviews, and contribute to testing, documentation, and operational readiness.
• May perform additional duties as assigned.

Skills

AI platform design

AIOps engineering

Python programming

System reliability

Tools

LangGraph

Google ADK

Vertex AI

Cloud Run

GKE

Pub/Sub

BigQuery

Job description

CNA Financial seeks an experienced Senior AI Platform Engineer to build and scale AI/ML platforms for financial services and insurance. You will own platform capabilities from discovery to production rollout, including LLM gateways, RAG pipelines, and automated evaluation tools.

The role emphasizes responsible AI, governance, and audit-ready infrastructures, with hands-on work on multi-agent workflows and hybrid retrieval systems. Chicago-based with enterprise-scale impact.