AI Agent Architect - Summer 2027 - Farmington Hills, MI

Nissan Motor Corporation•Farmington Hills, MI

8d•Onsite

About The Position

We are currently looking for an AI Agent Architect Intern to join our team in Farmington Hills, MI. The Enterprise Data & AI Product team is responsible for building and delivering Nissan's enterprise strategy for Data & AI products across the Americas. This internship provides a unique opportunity to work on cutting-edge AI initiatives by identifying, designing, building, testing, and deploying Enterprise AI Agents that drive business value across the organization. Interns will gain hands-on experience in AI architecture, data engineering, business case development, and enterprise technology implementation while collaborating with stakeholders across multiple business functions.

Requirements

Must be currently enrolled in an undergraduate or graduate degree program in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Data Engineering, Software Engineering, Information Systems, or a related field.
Students entering their Junior or Senior year at the start of the upcoming academic term.
Understanding of AI Agent architectures and generative AI concepts.
Experience with data engineering principles and working with large datasets.
Programming experience with Python, SQL, or similar languages.
Familiarity with cloud platforms and modern data technologies such as AWS, Snowflake, and AI development frameworks.
Strong analytical and problem-solving skills.
Excellent communication skills with the ability to present technical concepts to both technical and business audiences.
Self-motivated with a passion for innovation, emerging technologies, and continuous learning.
GPA of 3.0 or above (Candidates will be required to provide an official or unofficial transcript during the application process for verification.)
Ability to perform work onsite at Franklin, TN.

Responsibilities

Identify and evaluate enterprise AI Agent opportunities that can improve business processes and user experiences.
Perform cost-benefit analyses and value assessments to prioritize AI Agent initiatives.
Design, build, test, and deploy AI Agents using enterprise AI and data platforms.
Develop adoption strategies, governance frameworks, and operating models to support successful implementation.
Collaborate with business, data, and technology teams to define requirements and deliver innovative AI-powered solutions.