AI Data Intern
About The Position
At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model, requiring employees to be in our local office at least three-four days per week. Relocation and housing assistance are not available for this role. Boston Scientific will not offer sponsorship or take over sponsorship of an employment VISA for this position at this time We will consider qualified applicants of all ages who are starting (or restarting) their careers We are seeking a highly motivated AI Data Intern to support the development of enterprise AI solutions leveraging Snowflake Cortex, Agentforce, and Model Context Protocol (MCP). This role will help design and prototype AI-powered workflows that integrate structured data, large language models (LLMs), and intelligent agents within secure cloud environments. The intern will work closely with data engineering, AI/ML, and business teams to build scalable, governed, and production-ready AI use cases that operate directly within Snowflake and across agent-based architectures.
Requirements
- Must graduate between Fall 2026 – Spring 2028
- Currently pursuing a bachelor’s or graduate level degree majoring in Computer Science, Business/Data Analytics, or Data Science.
- Must be able to commit to one of the following full internship program periods: May 18th – August 7th OR May 26th – August 14th
- Must be eligible to work in the U.S. without company sponsorship, now or in the future, for employment-based work authorization
- Must have reliable transportation to and from the Arden Hills, MN Boston Scientific Corporate location
Nice To Haves
- Ability to communicate effectively with diverse, cross-functional teams
- Passion to learn new technologies and find new solutions
- Previous internship or co-op experience
- Desire to work in a medical device company where real products get manufactured
- Strong analytical and problem-solving skills
- Ability to translate technical concepts into business requirements
- Passionate about AI innovation and applying technology to solve complex problems
Responsibilities
- Collaborate with cross-functional teams to identify and prioritize AI use cases that drive operational and engineering efficiency
- Develop and optimize SQL queries and data pipelines within Snowflake
- Prepare datasets for AI workflows using Python
- Build AI-driven workflows using Snowflake Cortex (LLM functions, embeddings, summarization, classification, sentiment analysis)
- Assist in building and configuring AI agents using Agentforce
- Design multi-step agent workflows that interact with enterprise data systems
- Integrate Snowflake Cortex AI functions into agent-based decision flows Collaborate with data engineers to prepare and transform datasets for AI workflows
- Implement and test MCP-based integrations to securely pass context between data systems and LLMs
- Design context packaging strategies to optimize model performance
- Assist in managing structured and unstructured context for agent-based systems Validate model outputs, evaluate performance, and suggest improvements
- Help document AI workflows, best practices, and implementation guides to support scalable adoption
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What This Job Offers
Career Level
Intern
