CONTINUOUS IMPROVEMENT INTERN

STENA•San Antonio, TX

63d•Onsite

About The Position

San Antonio Aerospace is one of the world’s leading aviation maintenance and engineering specialists, performing maintenance services and modifications for major airlines and airfreight carriers. They are part of ST Engineering North America, which applies technology and innovation across aerospace, smart city, defense, and public security sectors. As a Continuous Improvement Intern – AI Automation, you will support the Continuous Improvement team by designing, developing, and deploying AI solutions to optimize workflows and enhance operational efficiency. This role involves applying hands-on experience with AI agents and automation tools to real-world operational environments, transforming improvement opportunities into practical AI-driven solutions.

Requirements

High school diploma or GED required
Currently pursuing a degree in Information Systems, Computer Science, Engineering, Data Analytics, Business Analytics, or related field preferred
Hands-on experience creating AI agents or automation solutions using Microsoft 365 Copilot or Copilot Studio.
Understanding of workflow automation concepts.
Familiarity with Microsoft 365 ecosystem (Teams, SharePoint, Outlook, OneDrive).
Analytical, problem‑solving, and documentation skills.
Ability to manage multiple projects and deadlines in an office environment.

Nice To Haves

Experience with Power Platform tools such as Power Automate (preferred).

Responsibilities

Identify and implement AI-driven automation opportunities within CI projects.
Design, build, and refine AI agents using Microsoft 365 Copilot, Copilot Studio, or similar platforms.
Develop workflow automations using tools such as Microsoft Power Automate.
Analyze current-state processes and define AI-enabled future-state solutions.
Integrate AI agents with Microsoft 365 tools such as Teams, SharePoint, Outlook, and OneDrive.
Conduct testing, validation, and performance tuning of AI agents and automated workflows.
Document AI agent logic, workflows, prompts, and usage guidelines.
Assist with change management activities and user enablement.
Ensure AI solutions meet governance, security, and compliance standards.
Evaluate the business application ecosystem and recommend improvements using AI tools.