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Lenovo

AI Specialist Intern - Summer 2026

General Information

Req #

WD00096365

Career Area:

Artificial Intelligence

Country/Region:

United States of America

State:

North Carolina

City:

Morrisville

Date:

Wednesday, March 11, 2026

Working Time:

Full-time

Additional Locations:

United States of America - North Carolina - Morrisville

Why Work at Lenovo

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Description and Requirements

Overview:

We are seeking a motivated AI Specialist Intern to support critical AI initiatives that will directly contribute to Sphere AI’s future enhancements. This internship focuses on data exploration, machine learning development, and generative AI solution design, offering hands‑on experience across multiple AI problem areas.

The intern will support three key use cases:

Data exploration, analysis, and machine learning development, including some generative AI work

Generative AI solution exploration, focusing on use‑case design and feasibility

Prompt engineering and GenAI experimentation, refining how AI models are instructed and applied

All three outcomes are strategically important and will directly influence the evolution of Sphere AI.

Key Responsibilities:

Data Analysis & Machine Learning Development

Perform data exploration, cleaning, and analysis to uncover patterns and insights.
Develop, train, and evaluate machine learning models using Python‑based frameworks.
Apply statistical and data science techniques to support AI model development.
Document findings, model behavior, and experimental results.

Generative AI & Prompt Engineering

Explore generative AI solutions and identify opportunities to apply them to real business problems.
Design, test, and refine prompts to improve model accuracy, relevance, and usability.
Experiment with different GenAI approaches to optimize outputs and performance.
Compare and evaluate GenAI techniques and tools for future integration.

AI Solution Exploration & Prototyping

Assist in prototyping AI‑driven solutions that support Sphere AI’s roadmap.
Collaborate with technical team members to translate ideas into working experiments.
Analyze results and provide recommendations based on data and experimentation.

Collaboration & Communication

Work closely with team members to understand requirements and technical goals.
Clearly communicate progress, findings, and challenges through presentations or written updates.
Maintain organized project artifacts, code repositories, and documentation

Required Qualifications:

Education

Currently enrolled in an undergraduate program in Computer Science, Statistics, Data Science, or a related field.

Technical Requirements

Completion of AI and/or Machine Learning–related undergraduate coursework.
Proficiency in Python or similar programming languages.
Familiarity with data analysis and data science frameworks and tools, such as:

Python, Pandas
Scikit‑learn
Git
Linux

Prior hands‑on experience through coursework, side projects, or personal projects involving ML or AI.

Core Skills & Competencies

Strong analytical and problem‑solving skills.
Ability to work independently and manage multiple tasks.
Clear written and verbal communication skills.
Curiosity and willingness to experiment with new AI techniques.
Passion for emerging technologies in AI, machine learning, and data science.

Preferred / Nice‑to‑Have Skills

Exposure to generative AI models or tools.
Experience working with datasets of varying size and complexity.
Familiarity with prompt engineering concepts or experimentation.
Interest in applied AI solutions and real‑world use cases.

Key Skills & Technologies

Artificial Intelligence & Machine Learning
Generative AI & Prompt Engineering
Data Exploration & Analysis
Python Programming
Data Science Frameworks (Pandas, Scikit‑learn)
Git & Version Control
Linux
Statistical Analysis
Technical Documentation

What You Will Gain

Hands‑on experience working on high‑impact AI initiatives.
Exposure to real‑world machine learning and generative AI applications.
Practical experience with prompt engineering and AI solution design.
Mentorship from experienced AI and data science professionals.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.

Additional Locations: