You will work within the Applied AI team, collaborating with engineers, data scientists, and product stakeholders to build the AI capabilities that power iManage’s enterprise work platform including Ask iManage, our generative AI document assistant, as well as advanced document classification, extraction, and NLP-driven features that directly impact how knowledge workers search, organize, and understand their most critical information. Deploying and optimizing ML/AI systems on GPUs and Kubernetes-based cloud infrastructure, including AKS or equivalent platforms, while balancing trade-offs across scalability, latency, performance, operational complexity, and cost efficiency.