Intern-Procurement (Supply Chain Automation): Agentic AI Content Design Intern

Tallgrass•Houston, TX

10d•$21 - $35•Hybrid

About The Position

The Procurement organization at Tallgrass sources materials, equipment, and services that support safe and reliable energy infrastructure. Its Supply Chain Automation (SCA) group advances the use of agentic AI and automation, including AI agents, personas, and workflows that help teams work more efficiently and communicate clearly and consistently. This internship focuses on designing AI-supported communication processes and creating polished materials for Procurement and Supply Chain teams. The intern will help define AI agent personas, develop and test prompts and workflows, evaluate agent outputs, and create presentations, booklets, one-pagers, infographics, process visuals, and reusable design resources aligned with Tallgrass brand standards. The role also includes translating procurement information into accessible visuals and narratives, documenting work in a shared playbook, supporting team learning, and presenting an end-of-internship capstone to leadership. The position is a temporary, full-time internship for 10 weeks from May through August 2027, based in person or hybrid at the Houston office.

Requirements

Be actively enrolled in a degree program and attending classes related to Communications, Graphic or Visual Design, Marketing, Business, Information Systems, Computer Science, Data Analytics, or a related field.
Have an expected graduation date between December 2026 and May 2028.
Collaborate professionally, tactfully, and courteously with a wide variety of people.
Maintain a high regard for personal safety and the safety of company assets, employees, and the general public.
Have basic familiarity with generative AI tools and writing clear prompts.
Have working proficiency with Microsoft PowerPoint, Word, and Excel.
Have exposure to at least one design tool through coursework, projects, or personal work.
Have clear written and verbal communication skills and the ability to simplify complex ideas for different audiences.

Nice To Haves

A portfolio of presentations, booklets, infographics, or other design work.
Exposure to AI agent builders or low-code automation tools such as Microsoft Copilot Studio, Power Automate, custom GPTs, or Cursor.
Basic familiarity with Python, JSON, or Markdown.
Experience with data visualization tools such as Power BI.
Curiosity, eagerness to learn, and openness to giving and receiving feedback.
A visual eye and attention to detail in layout, formatting, and consistency.
Bilingual English/Spanish skills.

Responsibilities

Help define and document AI agent personas for communication work, including their purpose, tone, audience, and expected outputs.
Draft, test, and refine prompts, agent instructions, and reusable skills.
Help assemble multi-step agentic workflows from initial brief through outline, draft, review, revision, and final deliverable, with human review at key checkpoints.
Test agent outputs for accuracy, clarity, brand alignment, and audience fit; log issues and suggest improvements.
Use AI agents with PowerPoint and design tools to help create presentations, booklets, one-pagers, infographics, and process visuals for Procurement and Supply Chain teams.
Translate procurement data, processes, and policies into clear charts, diagrams, and narratives.
Help build a standardized library of graphical resources aligned with Tallgrass brand standards.
Review draft presentations and documents and provide constructive input on structure, storytelling, clarity, and visual hierarchy.
Help create communication aids such as checklists, tip sheets, and before-and-after examples, and support a lunch-and-learn or demo session.
Document agents, workflows, and lessons learned in a shared playbook.
Follow Company guidelines for responsible AI use, including using approved tools and protecting confidential, supplier, and personal information.
Present an end-of-internship capstone to Procurement and Supply Chain Automation leadership, summarizing work, learning, and recommendations.