[Hiring] Enterprise Knowledge & Intelligence Systems Internship @Lumen Technologies

Role Description

Lumen’s paid, 10-week summer internship program gives you meaningful work, mentorship, professional development, and connections with peers and leaders.

To help you find the best fit, explore the pathway roles:

• AI & Automation Builders
• AI Product & Business Innovation
• Cybersecurity, Risk & Digital Trust
• Data, Analytics & Decision Science
• Enterprise Knowledge & Intelligence Systems

Each pathway connects you with multiple roles that share related skills and interests, so you can discover more ways to build what’s next at Lumen.

One Application, Multiple Opportunities: Apply once to be considered for multiple internships focused on researching, organizing, governing, and activating trusted information for people and AI-enabled systems. As you move through the process, you’ll meet hiring teams and explore assignments aligned with your interests and strengths.

Your Impact: People and AI systems need trusted knowledge to make decisions and get work done. In the roles you may be considered for, you’ll help research, organize, connect, govern, and activate information so it is easier to find, understand, and use.

Assignments may span:

• Research
• Enterprise intelligence
• Knowledge management
• Content strategy
• Information architecture
• AI knowledge systems
• Sales enablement
• Governance
• Legal
• HR
• Learning
• Communications
• Transformation

giving you a chance to turn complex information into useful resources and smarter experiences.

What You May Work On:

• Conduct research and synthesize complex information to support business decisions, customer needs, strategic initiatives, legal or policy work, and emerging technology efforts
• Improve how knowledge, content, policies, playbooks, and information are structured, governed, shared, and maintained
• Support AI-enabled knowledge systems, enterprise search, content platforms, knowledge repositories, or agent-ready information
• Create resources, communications, learning content, or sales enablement materials that help employees and customers find and apply the right information
• Analyze information flows and partner with teams across security, governance, AI, sales, transformation, legal, HR, and other functions to improve access, usability, consistency, and decision-making

Qualifications

• Strong analytical and critical-thinking skills
• Curiosity and a desire to explore, research, and understand complex topics
• Ability to synthesize information and identify what is most relevant for different audiences
• Clear written and verbal communication skills
• Strong organization, attention to detail, and sound judgment
• Comfort learning new technologies, information platforms, and AI-enabled tools
• Collaboration, stakeholder engagement, initiative, adaptability, and a growth mindset

Prior experience with research, writing, content management, knowledge systems, information architecture, policy, learning resources, communications, AI tools, or documentation will be especially beneficial to candidates in this pathway.

Requirements

• You must be enrolled at an accredited college or university at the time of the internship.
• We primarily seek rising seniors graduating between August 2027 and June 2028; students graduating in 2029 may also be considered.
• Students from a variety of academic backgrounds may be a strong fit, including:
• Information Science, Information Systems, Knowledge Management, or Library & Information Science
• Communications, Journalism, English, Technical Writing, Marketing, or Education
• Business Administration, Human Resources, Organizational Leadership, Legal Studies, Public Policy, Political Science, or Social Sciences
• Computer Science, Data Science, Artificial Intelligence, or Engineering
• Students from other disciplines who enjoy research, synthesizing information, solving problems, and helping others make informed decisions are also encouraged to apply.

Compensation

• Intern pay ranges: $26–$46 per hour.
• Compensation is based on your academic level, role classification (technical vs. non-technical), experience, and geographic location.