Artificial Intelligence Co-Op/Intern - Spring 2027

The Mosaic Company•Tampa, FL

15h•Hybrid

About The Position

The Mosaic Company is seeking an Artificial Intelligence Co-Op/Intern for Spring 2027. This role will support Mosaic’s AI team in building and scaling AI/ML and GenAI solutions to drive business value across key functions. The position involves rapid prototyping, iterative development, and collaboration with data scientists and engineers to move ideas into production. Student opportunities at Mosaic offer professional learning, competitive pay, and the chance to work with a global leader on exciting projects.

Requirements

Junior level or above by January 2027 pursuing a degree in Computer Science or a closely related field (Data Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, or Computer/Software Engineering) — Computer Science background strongly preferred
2.75 GPA or higher
Proficiency in Python and familiarity with common libraries (e.g., pandas, NumPy, scikit-learn, PyTorch or TensorFlow); comfort with Git and Jupyter notebooks
Coursework, projects, or hands-on experience with machine learning, deep learning, NLP, or applied statistics
Exposure to Generative AI / LLMs (prompting, RAG, agentic workflows) and cloud platforms (Azure, AWS, or GCP) is a strong plus
Nimble, sharp, and intellectually curious — a fast learner who thrives in ambiguity, asks good questions, and picks up new tools and concepts quickly
Strong problem-solving skills and the ability to break down ambiguous business problems into structured, testable AI/data approaches
1-2 years of experience volunteering, working with student/school organizations, or work is preferred.
Previous internship or co-op experience is preferred.
Reliable transportation and valid driver’s license - You will need to be able to travel to and from sites and/or office.
Ability to work full time and be a student in standing at the time of the co-op/internship
Selected candidates will be required to successfully complete post-offer/pre-placement drug and alcohol screening, background check, physical, functional capacity examination.
Experience working in a team environment is a must
Effective verbal and written communication skills — able to explain technical concepts clearly to non-technical audiences
Must be authorized to work in the United States

Nice To Haves

Exposure to Generative AI / LLMs (prompting, RAG, agentic workflows) and cloud platforms (Azure, AWS, or GCP) is a strong plus

Responsibilities

Build & Prototype AI Solutions: Develop and evaluate ML models, LLM-powered applications, or agentic AI workflows for a scoped business problem.
Document methodology, assumptions, and trade-offs while completing a scoped analysis or prototype, then clearly translate results into actionable recommendations.
Develop Reproducible AI/Data Workflows: Build and document reproducible datasets, training pipelines, or evaluation harnesses.
Define and document cleaning, feature engineering, prompt/evaluation, and validation processes to ensure scalability and reliability, while building reproducible datasets or pipelines.
Package & Communicate Results: Deliver a final package (summary, visuals, code/notebook, model card, runbook).
Present key insights, limitations, risks, and recommended next steps to both technical and business stakeholders, and deliver a final package including summaries, visuals, and supporting code or documentation.
Collaborate across the organization — partnering with data scientists, engineers, product managers, and business stakeholders to scope problems and ship solutions.
Participation in department meetings and meetings specific to the project assignment.
Adhering to Mosaic’s mission, guiding principles and priorities, and key competencies.