AI Agent Architect

Nissan

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Farmington Hills, MIFranklin, TN
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $204k
$138k $262k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $161,825–$246,150.

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Employer

About Nissan

Nissan Motor Company is a multinational automobile manufacturer headquartered in Yokohama, Japan, designing and producing a wide range of vehicles including cars, trucks, SUVs, and electric vehicles under the Nissan and Infiniti brands. Industry: Automotive Manufacturing

Nissan currently has 14 open roles on FindRole.

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At a glance

TL;DR · AI Agent Architect

JOB TITLE: AI Agent Architect - Summer 2027 - Farmington Hills, MI The AI Agent Architect Intern joins the Enterprise Data & AI Product team to support the enterprise strategy for data and AI products across the Americas. In this role, the intern identifies, designs, builds, tests, and deploys Enterprise AI Agents to improve business processes and user experiences. Key responsibilities include performing cost-benefit analyses, developing adoption strategies, and creating governance frameworks. The position requires proficiency in AI agent architectures, generative AI concepts, and data engineering principles for large datasets. Candidates must demonstrate programming experience with Python and SQL, along with familiarity with cloud platforms like AWS, Snowflake, and modern AI development frameworks. The work focuses on solving technical business problems by delivering innovative, AI-powered solutions through collaboration with various business, data, and technology teams.

What you'll do

  • Identify and evaluate enterprise AI Agent opportunities to 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 for AI implementation.
  • Define requirements and deliver innovative AI-powered solutions with business, data, and technology teams.
  • Apply data engineering principles to work with large datasets and cloud platforms like AWS and Snowflake.

What we're looking for

  • Must be currently enrolled in an undergraduate or graduate degree program in Computer Science, Data Science, AI, Machine Learning, Data Engineering, Software Engineering, Information Systems, or a related field.
  • Must be entering Junior or Senior year at the start of the upcoming academic term.
  • Must have a GPA of 3.0 or above.
  • Must be legally authorized to work in the United States.
  • Must have an understanding of AI Agent architectures and generative AI concepts.
  • Must have experience with data engineering principles and working with large datasets.
  • Must have programming experience with Python, SQL, or similar languages.
  • Must have familiarity with cloud platforms and modern data technologies such as AWS, Snowflake, and AI development frameworks.

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