2027 Intern - AI & Architecture

Adobe•San Jose, CA
•Hybrid

About The Position

The Adobe Data Science team is seeking a summer intern to apply AI and machine learning techniques to customer data and business challenges. The intern will help turn business needs into architecture options, prototype AI tools for architecture work, make architecture guidance easier to use, collaborate with architects across business domains, evaluate new technologies, and present findings and recommendations. Adobe interns will be co-located hybrid, working between their assigned office and home. The manager and organization determine office attendance frequency based on team priorities. The intern will work with architects and business partners to understand requirements and develop solution options that consider architecture standards, readiness, implementation effort, and total cost of ownership. They will prototype AI assistants or agents for architecture reviews, risk analysis, and documentation; apply AI to standards, reference patterns, and architecture repositories such as LeanIX; and partner with architects across Marketing, Sales, Post-Sales, and Finance. They will research emerging AI and platform technologies, including agent frameworks, MCP integration, and AI observability tools, and present prototypes, findings, and recommendations to architects and leaders at the end of the internship.

Requirements

  • Currently enrolled full time and pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
  • Self-motivation.
  • Strong technical background with analytical and problem-solving skills.
  • Eagerness to research and learn new technologies.
  • Excellent communication and interpersonal skills.
  • Ability to collaborate with solution architects across multiple business areas.
  • Ability to present and describe architectural solutions to non-technical business partners.
  • Understanding of Adobe's business-related solutions and how they impact customers, partners, and internal business users.

Responsibilities

  • Translate business needs into architecture options in collaboration with architects and business partners.
  • Help document solution options that account for architecture standards, readiness, implementation effort, and total cost of ownership.
  • Prototype AI assistants or agents that support architecture reviews, risk analysis, and documentation, including summarizing designs, checking standards, and flagging gaps.
  • Apply AI to architecture standards, reference patterns, and repositories such as LeanIX to make guidance easier for teams to find and use.
  • Partner with Adobe architects across Marketing, Sales, Post-Sales, and Finance to design solutions that support customer onboarding, renewals, and value realization.
  • Research and test emerging AI and platform technologies, including agent frameworks, MCP integration, and AI observability tools.
  • Share recommendations that inform the Enterprise Architecture roadmap.
  • Present prototypes, findings, and recommendations to architects and leaders at the end of the internship.
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