Marketing Workflow & AI Enablement Intern - Summer 2027

Elevance Health•Indianapolis, IN

4d•Hybrid

About The Position

The Marketing Workflow & AI Enablement Intern joins a Marketing organization seeking to turn high-value generative AI and automation opportunities into tested, responsible, reusable ways of working. The intern will help prioritize business needs, build and test practical AI-enabled workflows using approved enterprise tools, create adoption resources, and measure results to help leaders determine what should scale. This time-bound, 12-week, full-time internship runs from May 17, 2027, through August 6, 2027. The role sits at the intersection of marketing, technology, analytics, process improvement, communications, and change enablement. It is intended for a student interested in translating emerging technology into practical solutions that make work easier, faster, more consistent, and more effective, while documenting risks, human-review needs, and evidence of business value. The position is based in Indianapolis, Indiana, and requires in-office work one to two days per week. Applicants must live within a reasonable commuting distance unless an accommodation is granted as required by law.

Requirements

Currently enrolled in a bachelor's degree program in Marketing or a related major at an accredited college or university.

Nice To Haves

Preferred academic standing: rising junior, rising senior, graduating senior, or graduate student.
Demonstrated interest in generative AI, emerging technology, digital transformation, marketing technology, analytics, or process improvement.
Hands-on experience using one or more generative AI tools such as Microsoft Copilot, ChatGPT, Claude, or comparable platforms.
Strong written and verbal communication skills.
Ability to organize complex or ambiguous information into clear structures.
Strong analytical, problem-solving, and attention-to-detail skills.

Responsibilities

Identify and document high-value AI use cases across Marketing and selected business functions.
Develop and test reusable prompts, workflows, and low-risk prototypes using approved enterprise tools.
Support AI pilot design, testing, documentation, and measurement.
Create practical training materials, quick-reference guides, and demonstrations for nontechnical users.
Evaluate AI outputs for accuracy, quality, usability, and risk; document failure modes and human-review requirements.
Help track adoption, time savings, quality improvements, and stakeholder feedback.
Present an end-of-summer recommendation on which AI capabilities should be scaled next.