Intern FY27

About the Role

Adobe is looking to employ passionate, enthusiastic, and consulting-focused candidates for the India professional services team. This team is responsible for working directly with customers and prospects to match business problems to technology, providing technical skills on the ground with customers and alongside partners, and evangelizing the value of Adobe's technologies.

Key Responsibilities

• Transfers business requirements into technical specs and provides technical implementation solutions and recommendations.
• Creates and integrates content-driven applications on Marketing Cloud and Commerce Cloud and integrates with other systems.
• Defines implementation processes and best practices.
• Provides implementation consultancy, customer assistance, and post-implementation support.
• Conducts knowledge transfer/training to customers on implemented solutions.
• Utilizes big data and cloud technologies to program for custom solutions.
• Attends regular scrum events (or equivalent) and provides updates on deliverables.

Requirements & Tech Stack

Core Technical Skills

• Good understanding of Java, Java EE, Servlets, JSP, Tag libraries, and JSTL.
• Good understanding of Enterprise Java frameworks such as Spring and Hibernate.
• Exposure to PHP, Python, PySpark, or related libraries.
• Exposure to Java, web development, and Content Management System (CMS) experience.
• Good understanding of core web technologies including XML, XHTML, client/server-side scripting languages such as JavaScript and JSP, and web services development using RESTful implementations.
• Experience with Application development, distributed application development, and Internet/Intranet-based database applications.
• Strong knowledge of databases and SQL queries on at least one database.
• Angular JS, UI, JavaScript, CSS (React/TypeScript exposure is a plus).
• Object-Oriented Programming and strong CS fundamentals.

Emerging Tech / GenAI Skills

• Good understanding of GenAI Fundamentals and LLM Integration.
• Working knowledge of RAG (Retrieval-Augmented Generation) Fundamentals and Embeddings & Vector Search.
• Exposure to Agentic AI Fundamentals and AI Evaluation techniques.
• Experience with API & Function Integration in the context of AI-driven applications.
• Familiarity with Conversational AI UX and Streaming Responses (for frontend-facing roles).
• Exposure to Node.js (for backend-focused roles).

Qualifications

• Good communication skills, both written and verbal.
• Strong analytical and problem-solving skills.