AI Solutions Engineering Intern

Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance

At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.

*We will consider qualified applicants of all ages who are starting (or restarting) their careers*

*At Boston Scientific, we value collaboration and synergy. This role is onsite, requiring employees to be in our local office 5 days per week.*

*Relocation and housing assistance may be available to those who meet the eligibility criteria.*

*Boston Scientific will not offer sponsorship or take over sponsorship of an employment VISA for this position at this time*

The Active Implantable Systems (AIS) R&D AI transformation team is responsible for developing AI-enabled engineering workflows that help engineers find information, automate routine tasks, and review documentation.

You will support the team in developing and testing practical AI solutions for these engineering workflows, working with engineers and a technical mentor.

Your responsibilities will include:

• 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.

Required Qualifications:

• Working towards a Bachelors or higher degree in Computer Science, Software 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.

Preferred qualifications:

• AI: 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.