REQUIRED SKILLS AND EXPERIENCE 8+ years of experience across data engineering utilizing data solutions, SQL and NoSQL, Snowflake, ELT/ETL tools, CICD, Bigdata, GCP, Python/Spark, Datamesh, Datalake, Data Fabric 1+ year of hands-on experience supporting Gen AI initiatives in a data environment, ideally from insurance background Experience implementing RAG (Retrieval-Augmented Generation) pipelines Vector/graph database experience to structure data for large models using AI tools (steps include extraction, chunking, embedding, and ground strategies) Strong programming skills in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow NICE TO HAVE SKILLS AND EXPERIENCE AI certifications GCP certifications Experience in Property & Casualty or Employee Benefits industry Knowledge of natural language processing (NLP) and computer vision technologies JOB DESCRIPTION Responsible for implementing AI data pipelines that bring together structured, semi-structured and unstructured data to support AI and Agentic solutions - includes pre-processing with extraction, chunking, embedding and grounding strategies to get the data ready Develop AI-driven systems to improve data capabilities, ensuring compliance with industry best practices for insurance-specific data use cases and challenges Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc. Collaborate closely with DevOps and infrastructure teams to ensure seamless deployment, operation, and maintenance of data systems Partner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the integrity and scalability of the environment $55-65/hr based off of experience