AI-Driven Solutions Engineer Intern

shi

Piscataway Township (NJ)

On-site

USD 23,000 - 32,000

Full time

4 days ago
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Benefits offered by this job

Diversity commitment
Career growth opportunities
Health benefits
Modern facilities and technology

Job summary

SHI International Corp. in New Jersey invites ambitious students to join the Solutions Engineer Intern program within the AGT Internship. You will gain hands-on experience bridging AI capabilities with business needs, designing, prototyping, and presenting AI-driven solutions that address real customer problems.

Interns will engage with enterprise environments and customer-facing use cases. The role focuses on collaborating with data science and engineering teams to develop proofs-of-concept,

Qualifications

  • Enrolled as a junior or senior pursuing a bachelor's degree.
  • Available for the full 12-week internship and onsite work.
  • Authorized to work in the U.S. without sponsorship.

Responsibilities

  • Participate in SHI's AGT AI Platforms team, contributing to innovation.
  • Assist in mapping business problems to AI-enabled solution designs.
  • Support development of proof-of-concepts, demos, and prototypes using AI and automation.
  • Collaborate with data science and engineering teams to clean, preprocess, and analyze datasets.
  • Help create solution documentation, diagrams, and presentations for technical and non-technical audiences.
  • Participate in customer-facing demo preparation and solution walkthroughs.
  • Document work and present findings to mentors and program leadership.

Skills

Python
JavaScript
Machine learning concepts

Education

Bachelor’s degree in progress

Tools

Pandas
NumPy

Job description

SHI International Corp. in New Jersey invites ambitious students to join the Solutions Engineer Intern program within the AGT Internship. You will gain hands-on experience bridging AI capabilities with business needs, designing, prototyping, and presenting AI-driven solutions that address real customer problems.

Interns will engage with enterprise environments and customer-facing use cases. The role focuses on collaborating with data science and engineering teams to develop proofs-of-concept,

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