Hybrid AI Architecture Intern – Summer

Adobe; California (PA); Hybrid; USD 52,000 - 70,000; Full time

Job summary

The Adobe Data Science team is seeking a summer intern to apply AI/ML techniques to big customer data and tackle business problems from GTM strategies to product engagement.

Interns will be co-located hybrid, working at an office with their manager and team, with time split between office and home to enable collaboration and support across Marketing, Sales, Post-Sales and Finance. You will present prototypes and findings to architects and leaders at internship's end.

Qualifications

• Currently enrolled full time and pursuing a Bachelor's or Master's in Computer Science or related engineering field.
• Strong analytical and problem-solving skills.
• Self-motivation and eagerness to learn new technologies.
• Excellent communication and interpersonal skills.
• Ability to collaborate with solution architects across multiple business areas.
• Ability to present architectural solutions to non-technical business partners.
• Understanding of Adobe's business solutions and how they impact customers and partners.

Responsibilities

• Turn business needs into architecture options. Work with architects and business partners to understand requirements. Then help write up solution options that weigh architecture standards, readiness, implementation effort and total cost of ownership.
• Build AI tools for architecture work. Prototype AI assistants or agents that help with architecture reviews, risk analysis and documentation, such as summarizing designs, checking them against standards and flagging gaps early.
• Make architecture guidance easier to use. Apply AI to our standards, reference patterns and architecture repositories (for example, LeanIX) so teams can find and use the guidance on their own.
• Work across business domains. Partner with Adobe architects across Marketing, Sales, Post-Sales and Finance to design solutions that help customers get started, renew and get more value from Adobe.
• Evaluate new technology. Research and test new AI and platform technologies, such as agent frameworks, MCP integration and AI observability tools. Share recommendations that feed into the Enterprise Architecture roadmap.
• Share what you learn. Present your prototypes, findings and recommendations to architects and leaders at the end of your internship.

Skills

Self-motivation

Analytical thinking

Problem-solving

Eagerness to learn

Communication

Interpersonal skills

Architectural presentation

Understanding Adobe solutions

Education

Bachelor's or Master's in Computer Science or related engineering

Job description

The Adobe Data Science team is seeking a summer intern to apply AI/ML techniques to big customer data and tackle business problems from GTM strategies to product engagement.

Interns will be co-located hybrid, working at an office with their manager and team, with time split between office and home to enable collaboration and support across Marketing, Sales, Post-Sales and Finance. You will present prototypes and findings to architects and leaders at internship's end.