Margo McClintock

About Margo McClintock

I’m an AI Agentic Engineer who designs and implements AI-driven workflows that translate complex business and operational needs into automated, scalable enterprise systems.I build and orchestrate AI agents that reason over context, apply decision logic, integrate with APIs, and execute multi-step workflows inside real production environments. My work focuses on safe, explainable automation that augments human decision-making rather than replacing it.I specialize in agentic systems that operate within enterprise platforms such as ServiceNow and cloud environments like AWS, where governance, traceability, and reliability are critical. This includes designing conversational interfaces for operational workflows, intent-to-action pipelines, and human-in-the-loop automation patterns.My background in business analysis and systems design informs how I build AI solutions that align with real organizational constraints, stakeholder needs, and compliance requirements.I document hands-on AI agent and automation projects on GitHub, where I share system architectures, workflow logic, and real-world implementations.Explore my projects here:https://github.com/margomcclintock

Experience

1. Analyst

   Unum

   Sep 2024 — Present

   Support enterprise operational workflows and data-driven decisioning within insurance operations.

Education

• Middle Tennessee State University (MTSU)

  Bachelor of Science - BS, Biotechnology

• Southern New Hampshire University

  Master of Science - MS, Finance

  2022

• Middle Tennessee State University (MTSU)

  Bachelor of Science - BS, Quantitative Psychology