AI Innovation Intern

Job Description

AI Innovation Intern | Catalyst Brands LLC

The Tone:
This is an internship at Catalyst Brands LLC, located in Dallas, TX (Hybrid). Catalyst Brands LLC operates six iconic retail brands, and this role focuses on using artificial intelligence to improve how customers interact with these brands online. The intern will help enhance digital experiences and internal efficiency by applying modern AI tools to real-world business challenges. This position offers hands-on experience in how technology can transform customer engagement in fashion, retail, and e-commerce.

The TL;DR
• Role: Internship
• Type: Full-time, Temporary
• Location: Dallas, TX (Hybrid)
• Pay: $24.00–$32.19 hourly
• Team: Technology & Digital Experience team
• Mission: Elevate customer engagement across six retail brands by leveraging artificial intelligence.

What You’ll Actually Do
• Identification: Assist in finding opportunities to apply AI for better digital experiences, including personalization, search, product discovery, customer service, and content creation.
• Development: Support the creation and testing of AI-powered tools such as chatbots, recommendation engines, workflow automations, and generative AI solutions.
• Research: Conduct investigations into AI trends, emerging tools, and competitor strategies to inform digital strategy development.
• Collaboration: Partner with Digital Experience, Marketing, UX/UI, and e-commerce teams to understand specific brand needs and propose data-driven improvements.
• Evaluation: Help assess the performance of new AI features by analyzing data from dashboards and user feedback.

The Must-Haves
• Background: Currently pursuing a degree in Computer Science, Information Systems, Data Science, Digital Marketing, UX/UI, or a related field, with a demonstrated interest in technology.
• Experience: Interest in or foundational knowledge of artificial intelligence concepts, including machine learning, large language models, or generative AI.
• Skills: Analytical mindset with the ability to interpret data, excellent communication skills for cross-departmental collaboration, self-motivation, creativity, and eagerness to learn new technologies quickly.