Teams at OneOrigin

Analyzes recurring operational issues and data to identify root causes, then translates business rules into AI requirements, prompts, validation checks, and test cases. Collaborates with Product, Engineering, AI/ML, and Implementation teams to improve extraction, mapping, classification, and automation workflows. Evaluates LLM outputs, identifies failure patterns, builds reusable AI workflows and evaluation datasets, measures accuracy and efficiency improvements, and documents reusable solutions.

Develop and support AI-powered software solutions that automate higher education administrative processes, improve student engagement, and enable data-driven decision-making. The role’s specific responsibilities, team structure, and qualifications are not provided in the posting.

Analyze recurring operational corrections, identify root causes, and convert institutional rules into product requirements, validation checks, and test cases. Collaborate with product and implementation teams to improve extraction, mapping, and reusable rules. Measure reductions in errors and manual effort, validate improvements across customers, and document solutions for effective handoffs.