About Us
Since 1989, SHI International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud to be a $16 billion global provider of IT solutions and services.
Over 17,000 organizations worldwide rely on SHI’s concierge approach to help them solve what’s next. But the heartbeat of SHI is our employees – all 7,000 of them. If you join our team, you’ll enjoy:
Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.
Continuous professional growth and leadership opportunities.
Health, wellness, and financial benefits to offer peace of mind to you and your family.
World-class facilities and the technology you need to thrive – in our offices or yours.
Job Summary
The Solutions Engineer Intern is part of SHI’s immersive Advanced Growth Technologies (AGT) Internship, designed to develop future technical talent in AI and Digital Transformation. This track offers hands-on experience bridging technical capabilities with business needs, focusing on designing, prototyping, and presenting AI-driven solutions that solve real customer problems. Interns will gain exposure to enterprise environments, customer-facing use cases, and modern AI platforms.
Include, but are not limited to:
Participate in SHI’s AGT AI Platforms team, contributing to internal and customer-facing innovation efforts.
Assist in mapping business problems to AI-enabled solution designs.
Support development of proof-of-concepts, demos, and prototypes using AI, analytics, and automation technologies.
Collaborate with data science and engineering teams to clean, preprocess, and analyze datasets.
Assist in developing and testing code to support AI workflows, automation, or integrations.
Help create solution documentation, diagrams, and presentations for both internal and external audiences.
Participate in customer-facing demo preparation and solution walkthroughs.
Document technical work and present findings to technical and non-technical stakeholders.
Provide regular status updates to mentors and program leadership.
Behaviors and Competencies
Communication: Can clearly communicate technical information, solution designs, and findings to team members and stakeholders; supports effective documentation and presentation of processes and results.
Teamwork: Able to collaborate effectively with data science, engineering, IT, and project management teams, fostering a cooperative and productive environment.
Training and Learning: Demonstrates a strong willingness to learn, take initiative, and actively seek guidance and feedback from senior engineers and mentors.
Organization: Capable of supporting multiple projects and tasks simultaneously, keeping technical documentation organized, and adapting to shifting priorities.
Project and Goal Focus: Participates in project activities with attention to detail and a commitment to completing assigned objectives and deliverables.
Time Management: Manages time effectively to balance internship responsibilities, communicates availability, and consistently meets deadlines.
Self-Motivation: Takes initiative in learning new technologies, programming languages, and solution engineering practices.
Conceptual Thinking: Applies basic conceptual understanding of AI, automation, and solution engineering to solve assigned tasks and supports continuous improvement.
Ability to assist in developing, testing, and troubleshooting basic code for AI workflows or automation (Python, JavaScript, or similar). – Beginner
Ability to collaborate with cross-functional teams to support project objectives and solution development. – Intermediate
Ability to analyze, clean, and prepare datasets using data manipulation tools (e.g., Pandas, NumPy). – Beginner
Ability to create and maintain technical documentation, diagrams, and presentations for technical and non-technical audiences. – Intermediate
Ability to help prepare and deliver solution demos and presentations for internal and customer-facing activities. – Intermediate
Ability to manage time and prioritize tasks in a fast-paced, dynamic environment. – Intermediate
Familiarity with basic machine learning concepts, AI frameworks, or data visualization tools, with willingness to apply and expand this knowledge. – Beginner
Currently enrolled as a junior or senior in good academicstandingworking towards a bachelor’s degree.
Must be available toparticipatefor the full 12-week internship duration.
Must be able to work onsite as required by the internship program.
Mustbe authorized towork in the U.S.
The pay range for this position is $20.00 per hour.
Equal Employment Opportunity – M/F/Disability/Protected Veteran Status
