Intern, AI & Automation Engineering

Constellation Brands•Rochester, NY

1d•$19 - $32•Onsite

About The Position

The AI & Automation Engineering Intern will work in an innovative environment applying academic knowledge to real-world challenges. Under the mentorship of experienced professionals, the intern will gain hands-on experience supporting responsible enterprise AI adoption, use case intake and prioritization, enablement content, and basic value and impact measurement. The position is intended for a current student or recent graduate in a relevant STEM field who is interested in helping teams use AI tools safely and effectively. The intern will support strategic projects, AI enablement initiatives, data gathering and synthesis, development of enablement materials, and supervised lightweight testing of AI solutions and workflows. Interns also participate in planned events, including senior leader meetings, goal setting, team building, a tour, and final presentations. The primary work environment is a corporate office in Rochester, New York.

Requirements

Be a current student in, or recent graduate of, a Computer Science, Data Science, Statistics, Mathematics, or other STEM-related program.
Have a basic understanding of AI concepts, including generative AI and common limitations and risks such as hallucinations, bias, and privacy considerations.
Have familiarity with productivity and analytics tools such as Excel.
Be able to work independently and exercise strong technical judgment.
Have excellent problem-solving and troubleshooting skills.
Demonstrate technical and problem-solving skills, effective communication and organization across levels and departments, concise and logical analysis and proposals, initiative, focus on quality and timely work, and excellent verbal and written communication.

Nice To Haves

Exposure to data querying languages such as SQL.
Familiarity with Python or similar scripting tools.

Responsibilities

Provide support for key strategic projects while working with a technical mentor.
Help document and organize enterprise AI use cases, including intake details, objectives, stakeholders, and expected outcomes.
Gather and synthesize data to support AI adoption and value tracking, such as usage trends, qualitative feedback, and basic time-saved or quality proxy measures.
Help develop and refine enablement materials, including quick-start guides, FAQs, office-hours content, and safe-use reminders aligned with internal guidance.
Contribute under supervision to lightweight testing of AI solutions and workflows, including prompt patterns, identification of failure modes, and documentation of recommended practices.
Provide ad hoc project work support as needed.
Participate in pre-planned intern events, including senior leader meetings, goal setting, team building, a tour, and final presentations.