Associate Director, MLOps Engineering at PathAI

PathAI is looking for an engineering leader with at least two or three years of management experience specifically focused on production-grade MLOps or ML infrastructure. You should have a deep technical background in Kubernetes, cloud platforms, and managing petabyte-scale datasets for high-throughput inference pipelines. **What makes it worth a look...** This is a high-leverage role where you will modernize an AI stack to handle 10x growth while influencing "build vs. buy" decisions for foundation model readiness. The mission is high-impact, focusing on improving cancer diagnosis through pathology, and the role offers full remote flexibility or onsite options in Boston and New York. **You might be a good fit if you...** * Have led teams of 6+ engineers in a cloud-native or high-scale ML environment. * Regularly use AI assistants like Cursor or Claude to accelerate the development lifecycle. * Are comfortable architecting compute pipelines using Terraform, Helm, and workflow orchestrators like Airflow. * Want to move beyond tactical fixes and drive a multi-year architectural transformation for ML infrastructure.