Senior Data AI Engineer

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.

JOB DESCRIPTION:

Essential Duties & Responsibilities

Performs a combination of duties in accordance with departmental guidelines:

May perform additional duties as assigned.

Reporting Relationship

Typically Director or above

Skills Knowledge & Abilities

• Deep expertise building scalable ingestion and transformation pipelines across structured and unstructured data sources; strong background migrating workloads from legacy systems to modern cloud platforms.

• Skilled in parsing and normalizing diverse content types PDFs emails images and call transcripts using OCR NLP preprocessing (tokenization entity extraction summarization) and document chunking strategies optimized for LLM consumption.

• Proven experience designing and implementing vector databases (e.g. Vertex AI Vector Search Pinecone pgvector) embedding pipelines and knowledge graph structures that underpin RAG and semantic search applications

• Strong SQL and data analytical skills; experience building data marts and feature datasets for data science and ML applications.

• Strong coding fluency in Python; hands-on experience with BigQuery Claude Code RAG architectures LLMs ADK and prompt engineering techniques

• Expertise in building ML platforms and data pipelines at scale; familiarity with major ML algorithms deep learning NLP information retrieval and data mining techniques

• Experience with GCP services (Vertex AI Dataflow BigQuery Cloud Run Pub/Sub); comfort with distributed computing frameworks (Apache Spark Dataproc) for large-scale data processing.

• Solid experience managing diverse data sources including preprocessing cleansing and verifying data integrity to meet data science and ML requirements

• Demonstrated experience with machine learning deep learning information retrieval NLP or data mining particularly applied to unstructured or semi-structured data

• Hands-on experience with vector databases embedding models (e.g. text-embedding-gecko OpenAI Ada Cohere) and end-to-end RAG pipeline design

• Experience using Agile methods preferred.

• Strong communication and interpersonal skills and the ability to work effectively with peers and team members in a highly matrixed environment.

• Preferred experience with the insurance industry its products and services.

• Experience in implementing big data processing technology. Apache Spark preferred.

Education & Experience

#LI-KJ1 #LI-HYBRID

In certain jurisdictions CNA is legally required to include a reasonable estimate of the compensation for this District of Columbia California Colorado Connecticut Illinois Maryland Massachusetts New York and Washington the national base pay range for this job level is $72000 to $141000 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 CNAs benefits please visit.

CNAutilizesAI-enabled technology during the recruiting process. For more information please visitourcareers page.

CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation please contact