Sedgwick
The AI Engineer role serves as the hands-on architect of the enterprise data supply chain, designing and delivering production-grade data pipelines that bridge legacy on-premise systems with modern cloud platforms like Snowflake and AWS/Azure. This position focuses on engineering high-fidelity data to power machine learning models, feature stores, and generative AI applications, ensuring data meets statistical, performance, and governance requirements. The role involves building resilient ETL/ELT pipelines, managing feature stores, and implementing automated data quality frameworks to support advanced analytics and AI initiatives.
Sedgwick's tech-enabled risk, benefits, and integrated business solutions include comprehensive claims management and loss adjusting across industries.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Sedgwick.
Sedgwick confirms cyber incident affecting its major federal contractor subsidiary
Jan 2, 2026