Summary
Jonathan Scholtes is a senior AI architect and solution engineer with 10+ years of experience designing and shipping production-grade, event-driven agentic AI systems and cloud-native data platforms. At Microsoft he architects multi-agent orchestration, RAG and tool-augmented agents, and real-time multimodal agent workflows—moving enterprises beyond prompt-response interactions to continuous, auditable decisioning. He combines deep data engineering and distributed systems expertise with hands-on implementation in Python, FastAPI, containers, and IaC on Azure, while embedding governance, observability, and MLOps best practices for reliable model lifecycles. Known for pragmatic cost and performance optimizations (model right-sizing, routing/triage), he partners with leadership to turn prototypes into enterprise-grade deployments. Based in Omaha, he also teaches applied data science and brings an uncommon mix of economics training and systems-level thinking to problem framing and risk-aware AI design.
9 years of coding experience
16 years of employment as a software developer
Master of Science in Economics, Master of Science in Economics at University of Nebraska at Omaha
Bachelor of Science in Computer Information Systems, Bachelor of Science in Computer Information Systems at Bellevue University