Internship-Co-Op: AI Engineer
About The Position
The AI Engineer Co-Op works alongside experienced AI architects, AI engineers, and platform engineers to design, develop, and operationalize AI solutions supporting ASML’s business and technology objectives. The role is part of the CDO US AI Foundation & Platform team, which builds reusable AI platforms, agentic solutions, scientific AI capabilities, and governance frameworks to help teams across engineering, manufacturing, service, and operations deploy AI safely at scale. The co-op contributes to AI applications and workflows, enterprise AI deployment, MLOps and governance, and evaluation practices. The position also involves collaboration with business stakeholders and participation in engineering activities such as code reviews, technical design sessions, and agile delivery ceremonies. By the end of the co-op, the student is expected to have contributed production-relevant AI capabilities, enterprise AI governance and MLOps practices, and reusable components, and to have demonstrated the ability to move from experimentation to operational deployment.
Requirements
- Pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related discipline.
- Experience with Python.
- Familiarity with machine learning, LLMs, GenAI, or agent-based systems.
- Experience with Git, software development practices, and cloud technologies.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Strong learning mindset and intellectual curiosity.
- Enjoys tackling difficult technical problems.
- Balances innovation with responsible engineering.
- Able to simplify complex problems.
- Thrives in collaborative, highly technical environments.
- Interested in applying AI to semiconductor technology, engineering, and advanced manufacturing.
Nice To Haves
- Exposure to Azure AI, Azure ML, Databricks, LangChain, Semantic Kernel, OpenAI, Mistral, or similar technologies.
Responsibilities
- Build and enhance AI-powered applications using modern LLMs, agent frameworks, and AI orchestration capabilities.
- Develop and test prompts, AI workflows, RAG solutions, and agentic AI systems.
- Assist in deploying secure and governed AI solutions on enterprise-approved platforms.
- Contribute to MLOps and AI governance capabilities that improve transparency, reliability, and compliance.
- Support evaluation frameworks, scorecards, benchmarking, and AI quality measurement processes.
- Collaborate with business stakeholders to translate ideas into working AI prototypes and production solutions.
- Participate in code reviews, technical design sessions, and agile delivery ceremonies.
- Contribute technical documentation, onboarding materials, and engineering best practices.
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What This Job Offers
Career Level
Intern
Education Level
No Education Listed
