AI Solutions Engineering Intern
Boston Scientific
Arden Hills, MNFresher3h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 1 year · Bachelor's degree
- Must know
- PythonData structures & algorithms
- Nice to have
- Machine learningLLMsDeep learning
- Work
- On-site in Arden Hills · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python75%LLMs69%Machine learning51%Data structures & algorithms18%of 99 similar entry-level jobs posted in the US this week
- Listed
- Oct 29, 2026 · still open
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About the Role
The Active Implantable Systems (AIS) R&D AI transformation team develops AI-enabled engineering workflows to assist engineers with information retrieval, task automation, and documentation review. This role involves supporting the team in developing and testing practical AI solutions for these workflows, working under the guidance of a technical mentor. This position is onsite, requiring presence in the local office five days per week.
Key Responsibilities
- Assist in developing and building tools that support engineering workflows leveraging AI and machine learning tools.
- Support the integration of AI-driven approaches into existing engineering tools and workflows.
- Work with the team to find and implement engineering solutions for information retrieval, documentation review, or test automation.
- Collaborate with engineers to analyze requirements and design effective AI-assisted engineering solutions.
Requirements & Tech Stack
- Working towards a Bachelor's or higher degree in Computer Science, Software Engineering, or Computer Engineering.
- Graduation date between December 2027 – May 2029.
- Previous experience working with Python or a comparable programming language, data structures, web frameworks, or databases through coursework, academic projects, or previous internship experience.
- Familiarity with Generative AI and Agentic AI, with hands-on experience applying these technologies through academic projects or previous internship experience.
- Must be able to start internship on May 17th or 24th, 2027 and work for 12 weeks.
- Must have reliable transportation to and from work.
- This role is safety-sensitive and candidates will be subject to a prohibited substance test.
Qualifications (Preferred)
- Deep learning models, LLM, ML basics, RAG, Agentic applications.
- Medical industry experience.
- Ability to communicate effectively with diverse, cross-functional teams.
- Passion to learn new technologies and find new solutions.