About our group:

The Intelligent Engineering & Enterprise Systems (IEES) organization provides and supports the digital platforms that enable Seagate's global engineering teams to develop industry-leading storage products.

Our team manages Product Lifecycle Management (PLM), Engineering Knowledge Management, JIRA Agile Development Platforms, Technology and Portfolio Management System, Environmental Compliance System, and other critical engineering applications used worldwide. These platforms are tightly integrated with Seagate's ERP, Manufacturing Systems, Supply Chain, and Data Warehouse environments.

As part of Seagate's AI Transformation initiative, IEES is building next-generation AI-enabled solutions that transform engineering data embedded in different engineering systems into accessible knowledge and actionable intelligence to accelerate product innovation and engineering productivity.

This is a global team that collaborates closely with colleagues in the United States, Singapore, India, and China.

About the role - you will:

Generative AI and Large Language Model (LLM) applications
Retrieval-Augmented Generation (RAG) solutions
AI Assistants and Engineering Copilots
Model Context Protocol (MCP) integrations
AI Agent and workflow automation solutions
Enterprise engineering knowledge management

Your responsibilities may include:

Design, develop, and evaluate AI-powered prototypes and proof-of-concept solutions.
Build integrations between AI applications and enterprise engineering platforms, such as Windchill PLM, JIRA, TPM, and other business systems.
Develop AI orchestration workflows that leverage multiple engineering systems and data sources to automate and streamline complex business processes.
Assist with data preparation, system integration, validation, and end-to-end testing of AI solutions.
Collaborate with IT leads, architects, and business stakeholders to understand requirements and translate them into practical AI-enabled solutions.
Document designs, implementation approaches, test results, and lessons learned to support solution adoption and continuous improvement.

About you:

Passionate about learning new technologies
Curious about Artificial Intelligence and software engineering
Strong problem solvers with analytical thinking skills
Self-motivated and eager to experiment with innovative ideas
Comfortable working in a collaborative global team environment
Able to communicate effectively and learn quickly

Your experience includes:

Senior undergraduate, Master's, or PhD student
Major in Computer Science, Artificial Intelligence, Software Engineering, Automation, Electrical Engineering, Robotics, Data Science, or related disciplines
Programming experience in Python, Java, JavaScript, C/C++, C#, or related technologies
Understanding of software development fundamentals and data structures
Ability to read and communicate in English in a global work environment

Experience or coursework in one or more of the following areas:

Generative AI
Large Language Models (LLMs)
Machine Learning
Retrieval-Augmented Generation (RAG)
AI Agents
Model Context Protocol (MCP)
GitHub Copilot
LangChain or LlamaIndex
REST APIs
Cloud Platforms (AWS, Azure, GCP)
Full-Stack Development
Data Analytics

Location:

Located in the high technology district, our site in Wuxi is a global manufacturing hub, where nearly 5,000 employees deliver technical services, customer test, manufacturing, and support capabilities. On site you can grab breakfast, lunch, dinner and snacks at our canteen, grab-and-go market and coffee shop. We offer basketball, badminton, yoga clubs and group exercise classes. We also have music, dance, photography, and literature clubs galore, along with an active Toastmasters International chapter, and frequently have on-site festivals, celebrations and community volunteer opportunities.

Location: Wuxi, China
Travel: None

AI Engineering Hub Intern