Forward Deployed Machine Learning Engineer

Forward Deployed Machine Learning Engineer responsible for building, deploying, and iterating ML models and agentic workflow features to address real customer needs in insurance-related workflows. Responsibilities include applying ML techniques to improve accuracy and system performance, developing and validating models for submission intake and underwriting decision-making, deploying autonomous agent behaviors into customer-specific workflows, and maintaining evaluation pipelines, monitoring systems, and performance metrics. You will monitor production systems via logs and metrics, diagnose issues, and drive resolution, owning problems end-to-end and collaborating closely with Data Science and Engineering teams to deliver high-impact solutions. Required—Bachelor's or master's degree in a relevant field and 2+ years in production ML roles, hands-on experience with ML/LLM systems, agentic workflows, prompt engineering, cloud deployments, and strong analytics and monitoring capabilities.