Intern Program - Agentic AI

Nelnet•Lincoln, NE

5d•$21 - $25

About The Position

Nelnet’s AI Cohort Internship Program is a hands-on experience that offers interns a unique opportunity to work on AI-focused projects across multiple business units within Nelnet. This program is designed to foster a culture of innovation, enhance team AI capabilities, and meet evolving resource needs. Interns will collaborate with various teams, contribute to impactful projects, and gain exposure to AI applications in real business settings.

Requirements

Pursuing a degree in Computer Science, Data Science, Engineering, Business, Visual Media Arts, or a related field.
Familiarity with programming languages such as Python, R, or Java.
Experience with AI/ML frameworks, data visualization tools, or database management platforms is highly desirable.
Ability to approach complex problems with a structured, analytical mindset and deliver data-driven solutions.
Experience using critical thinking to solve challenges is valued.
Experience in working in a team setting, collaborating on projects, and effectively communicating ideas to both technical and non-technical team members.
Strong understanding of artificial intelligence concepts, machine learning models, and data analytics techniques.
Familiarity with AI tools, algorithms, and frameworks is an advantage.
Comfortable with exploring how business processes can transform into Agentic AI workflows, and how AI Agents can lead, pair, and hand-off tasks in a multi-agentic environment.
The ability to question what components are required—how data is organized, ethical and security concerns—will prove beneficial to understanding Agentic conversations.
Proficient in programming languages such as Python, R, or Java.
Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., TensorFlow, PyTorch) is beneficial.
Ability to break down complex problems into manageable tasks and apply logical reasoning to develop innovative solutions.
A strong aptitude for troubleshooting and refining AI models or systems.
Ability to interpret large datasets and AI-generated insights to inform business decisions.
Comfortable leveraging AI tools to analyze data and translate findings into actionable recommendations.
Strong written and verbal communication skills, with the ability to clearly explain technical concepts to both technical and non-technical stakeholders.
Comfortable presenting ideas, findings, and recommendations to a wide audience.
Demonstrates strong interpersonal skills, working effectively within a team and collaborating across departments.
A team player who contributes to collective goals and values diverse perspectives.
Highly detail-oriented with the ability to ensure accuracy in data handling, AI model implementation, and project documentation.
Ensures quality control in deliverables.
Open to learning new technologies and methods within the rapidly evolving AI field.
Able to adapt to changing business needs and technological advancements in AI.
Strong understanding of ethical considerations in AI development, particularly regarding data privacy, algorithmic fairness, and the responsible use of AI technologies.

Nice To Haves

Previous Internship/Project Experience: Experience in AI-related internships, research projects, or personal AI/technology initiatives is a plus, but not required.
Project Documentation: Experience in documenting processes, results, and creating clear reports or presentations to convey findings and recommendations is a plus.

Responsibilities

Collaborate with Teams: Work closely with various business units to identify AI-driven opportunities for improved efficiency and productivity.
Research & Database Management: Assist in building a research database for tracking AI projects and participate in knowledge-sharing initiatives across the organization.
Project Support & Training: Conduct meetings with various teams to understand project requirements, deliver AI training sessions, and participate in hands-on support for ongoing initiatives.
Documentation & Knowledge Transfer: Document all project steps, results, challenges, and recommendations for continued progress within teams.
Final Presentation: Present findings, achievements, and key takeaways to Nelnet leadership and team members at the end of the internship.