Senior AI & ML Engineer
CNA Financial Corporation2 days ago
Base Salary
$72k - $141k/yr
Responsibilities
- Build platform-wide standards, reusable design patterns, and golden-path templates for safely developing, deploying, and operating AI solutions.
- Deliver AI platform capabilities end to end, from technical discovery and design through production rollout and operational readiness.
- Develop LLM gateway and routing layers, prompt management, agent orchestration, RAG pipelines, vector stores, model registries, and automated evaluation infrastructure.
- Build CI/CD and AIOps pipelines with evaluation gates, model and data versioning, staged promotion, monitoring, and cost-performance optimization.
- Implement multi-agent and single-agent workflows with state and memory management, tool and API integrations, human-in-the-loop approvals, permission scoping, and audit trails.
- Design knowledge-grounding systems using hybrid retrieval, semantic reranking, ontology-driven entity modeling, and knowledge graph integration.
- Apply responsible AI, privacy, secrets management, access control, output leakage prevention, model risk governance, testing, documentation, and code and design review practices.
- Mentor junior engineers and collaborate with engineering, product, and business stakeholders on technical tradeoffs.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or equivalent is required; a master’s degree in AI, Machine Learning, Data Science, or a related discipline is strongly preferred.
- At least 8 years of software engineering and technical delivery experience across the full software development lifecycle and large-scale distributed enterprise systems.
- At least 5 years of hands-on experience designing, delivering, and operating AI/ML or GenAI platform capabilities in production.
- Strong Python proficiency and deep practical GCP experience, including Vertex AI, GCP Agent Builder, and Gemini.
- Hands-on experience with agentic systems, including multi-agent and single-agent workflows, orchestration, tool and function calling, state and memory persistence, and safe autonomy controls.
- Experience with LLM architecture, model selection and routing, prompt engineering, fine-tuning and RLHF tradeoffs, production RAG, hybrid retrieval, vector search, reranking, knowledge graphs, and traceability.
- Strong cloud-native, distributed systems, AIOps, CI/CD, monitoring, observability, reliability engineering, versioning, and cost optimization experience.
- Experience implementing AI governance, model risk management, PII and data privacy controls, audit logging, and compliance-by-design practices.
- Prior experience in insurance, financial services, healthcare, consulting, or enterprise delivery is preferred.
- Familiarity with Scaled Agile and strong communication, collaboration, mentoring, and technical explanation skills are preferred.
Benefits
- Comprehensive benefits package supporting employees and family members’ physical, financial, emotional, and social wellbeing.
- Hybrid work arrangement is indicated by the #LI-HYBRID designation.
Tech Stack
Categories
About CNA Financial Corporation
CNA Financial Corporation provides commercial property-and-casualty insurance, including specialty coverages, to businesses and professionals across the U.S., Canada, and Europe. It sells through brokers and agents and offers underwriting, risk control, and claims services for sectors such as construction, healthcare, manufacturing, and technology. Headquartered in Chicago and founded in 1897, CNA is majority-owned by Loews Corporation and trades on the NYSE (ticker: CNA).