Teams at Solventum

Design, develop, deploy, and optimize production AI/ML, generative AI, and agentic AI solutions for supply chain operations. Build forecasting, optimization, predictive analytics, RAG, and intelligent automation systems; develop data pipelines and integrate enterprise data sources. Deploy cloud-native solutions on AWS and Azure, implement MLOps and LLMOps, monitor model performance, and collaborate with stakeholders on scalable, responsible AI architectures.

Evaluates autonomous coding performance against benchmarks, analyzes coding and automation data, identifies AI errors, compliance risks, anomalies, and automation opportunities, and partners with clinical, coding, compliance, reporting, data science, engineering, and customer teams. Communicates performance insights, ROI considerations, risks, and recommendations to leadership and customers to support responsible automation scaling and improved coding quality.

Own the strategy, roadmap, release planning, and development direction for an AI-powered autonomous medical coding platform. Lead agile cross-functional teams, prioritize initiatives, conduct customer and market research, analyze product performance, coordinate commercial activities, support demos and training, and communicate product, financial, and clinical insights to stakeholders. The role requires extensive clinical software and outpatient medical coding expertise, coding certification, healthcare data analysis, and proficiency with SQL, Power BI, and Amazon QuickSight.