Jonathan Scholtes

About Jonathan Scholtes

Senior Cloud Architect and AI Engineer specializing in agentic AI systems, with expertise in designing and deploying secure, production-grade solutions using LangGraph, Semantic Kernel, Azure AI Services, and the Model Context Protocol (MCP). I help organizations leverage Retrieval-Augmented Generation (RAG), tool use, and multi-agent orchestration to maximize LLM impact in real-world applications. I’ve delivered cross-industry AI and data solutions, with a strong foundation in IoT, big data, machine learning, and cloud-native architecture. Whether facilitating design sessions or leading hands-on workshops, I focus on turning innovation into practical implementation. Outside of industry work, I have served as Adjunct Faculty in Data Science at Bellevue University and volunteer as an AI Coach at the University of Nebraska–Lincoln’s Jeffrey S. Raikes School, mentoring students in applied AI, agentic frameworks, and best practices for model deployment and knowledge management.

Experience

1. Sr Solution Engineer - Ai Applications

   Microsoft

   Aug 2025 — Present · Omaha, NE, US

   Drive the architecture and delivery of enterprise agentic AI solutions across language, image, and voice modalities, integrating enterprise data platforms (Fabric, Databricks, SQL, MCP) and agent frameworks (LangChain, Semantic Kernel), from ideation through production at scale.• Partner with senior leadership and engineering teams to define enterprise AI strategy, technical roadmaps, and governance and compliance standards aligned with business outcomes, regulatory requirements, and platform maturity.• Implement reusable, production-grade cloud solution foundations for Apps, Data, and AI, leveraging infrastructure-as-code and DevOps pipelines with Bicep, Terraform, GitHub, and Azure DevOps, embedding security, governance, and policy controls by design.• Lead workshops, hackathons, and code-with events to accelerate customer adoption of agentic AI solutions using LangGraph, Semantic Kernel, Azure AI Services, and the Model Context Protocol (MCP), emphasizing secure, scalable infrastructure and enterprise best practices.• Own the design and implementation of secure, production-grade agentic AI systems with vector search, full agent evaluation, and end-to-end traceability to support observability, governance, and continuous improvement.

Education

• University of Nebraska at Omaha

  Master of Science in Economics

  2010 — 2016

• Bellevue University

  Bachelor of Science in Computer Information Systems

  2002 — 2006

Skills

• Tcp/Ip
• Apache Kafka
• Microsoft Sql Server
• Requirements Gathering
• Integration
• Agile Methodologies
• Hive
• Web Services
• Microsoft Azure
• Sql
• Visio
• Apache Zookeeper
• Asp.net
• Sharepoint
• Software Development Life Cycle (Sdlc)
• Systems Analysis
• Sql Server Reporting Services (Ssrs)
• Ssis
• Sdlc
• Sql Server Integration Services (Ssis)
• Power Bi
• Business Intelligence
• Data Mining
• Requirements Analysis
• Informatica
• Asp.net Mvc
• Wcf
• Github
• Ssrs
• C++
• Business Analysis
• .net Framework
• C#
• .net
• Data Warehousing
• Mongodb
• Ssas
• Data Analysis
• Shiny
• Ubuntu