Application Advisor Intern

About the role#

As an Application Advisor Intern, you will support innovation projects within the Sales and Solution Advisory organization. This role focuses on frontend UI/UX design, customer-facing digital experiences, and AI-enabled workflow improvements. You will contribute to designing, testing, and refining tools that enhance how information is accessed and used across customer engagement and sales advisory experiences.

What you'll do#

• Support the design and improvement of customer-facing, AI-enabled solutions across Sales and Solution Advisory workflows.
• Create wireframes, mockups, prototypes, user flows, journey maps, and interface recommendations.
• Review workflows to recommend improvements to navigation, interaction patterns, content hierarchy, accessibility, responsiveness, and visual polish.
• Translate business needs into frontend requirements, user stories, design ideas, and acceptance criteria.
• Collaborate with Solution Advisors, Sales leaders, Product stakeholders, and technical partners to test, document, and refine new experiences.
• Evaluate AI-assisted experiences for clarity, usefulness, consistency, and user trust.
• Support Application Advisor activities, including demo configuration, documentation updates, and sales enablement materials.

What you'll need#

• Currently pursuing an undergraduate degree in Human-Computer Interaction, UX Design, Product Design, Interaction Design, Computer Science, Software Engineering, Information Systems, Business Technology Management, Data Analytics, Business, Commerce, or a related field.
• Strong interest in frontend UI/UX design, user-centered design, enterprise software, and AI-enabled applications.
• Understanding of UX design principles, including user flows, usability, accessibility, information architecture, interaction design, responsive design, and content hierarchy.
• Experience creating wireframes, prototypes, journey maps, mockups, or design recommendations.
• Ability to learn technical concepts related to AI-enabled applications, including prompts, knowledge bases, model outputs, and data quality.

Location & details#

• Term: Fall 2026 (8 months: September 2026 – April 2027).
• Modality: Remote.
• Availability: Full-time (37.5 – 40 hours weekly).
• Compensation: This is a paid internship.
• Sponsorship: Not provided.