2027 Intern - AI & Architecture

Adobe•San Jose, CA
•$38 - $51•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 problems. In this role, the intern will collaborate with architects and business partners to turn business needs into architecture options, create AI tools that support architecture work, make architecture guidance easier for teams to access, and evaluate emerging AI and platform technologies. The position spans Adobe Marketing, Sales, Post-Sales and Finance domains. The intern will share prototypes, findings and recommendations with architects and leaders at the end of the internship. Interns will work in a co-located hybrid arrangement between their assigned office and home. They will be based in the office where their manager and/or team are located, and managers and organizations will determine office attendance frequency according to priorities. The role is aimed at students currently enrolled full time in a bachelor’s or master’s program in Computer Science, Computer Engineering, Electrical Engineering, or a related equivalent background. Adobe describes its culture as empowering employees to make an impact and provides comprehensive benefits programs, though specific benefits are not detailed here.

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 affect customers, partners and internal business users.

Responsibilities

  • Work with architects and business partners to understand requirements and translate business needs into architecture options.
  • Help document solution options that consider architecture standards, readiness, implementation effort and total cost of ownership.
  • Prototype AI assistants or agents for architecture reviews, risk analysis and documentation, including summarizing designs, checking designs against standards and flagging gaps.
  • Apply AI to architecture standards, reference patterns and repositories such as LeanIX to help teams find and use guidance independently.
  • Partner with Adobe architects across Marketing, Sales, Post-Sales and Finance to design solutions that help customers get started, renew and gain more value from Adobe.
  • Research and test new AI and platform technologies, including agent frameworks, MCP integration and AI observability tools.
  • Share recommendations that inform the Enterprise Architecture roadmap.
  • Present internship prototypes, findings and recommendations to architects and leaders.
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