Samsung SDS is a global IT services and solutions leader that helps enterprises accelerate digital transformation. Combining deep industry expertise with advanced technologies — including cloud, AI, data analytics, and secure enterprise platforms — Samsung SDS America, the North America subsidiary, designs and delivers scalable, outcome-driven solutions that improve operational efficiency, reduce risk, and unlock new business value across finance, manufacturing, retail, and public sectors. At Samsung SDS America, we take the most advanced concepts in Cloud and AI and turn them into scalable, real-world enterprise solutions. As a Managed Service Provider (MSP) leader, we don't just recommend technology—we architect, deploy, and optimize it. We don’t just follow the digital transformation—we lead it. As a global titan in IT services, we empower the world’s largest enterprises to bridge the gap between "what is" and "what’s next." By joining our North American team, you aren't just taking an internship; you’re stepping into a high-octane lab where Cloud, AI, and Data Analytics collide to solve massive, real-world problems in finance, manufacturing, and beyond. Eligibility Requirements Currently enrolled in an accredited Undergraduate or Graduate program (Graduation date: 2026 or 2027). Must be authorized to work in the U.S. without current or future sponsorship. Able to commit to a 10-week, 40-hour/week program starting June 8th, 2026. Ability to commute to our Ridgefield Park, NJ office at least 3 days per week. Why Your Work Matters You will be a part of the ATLAS AI team where here you will have an opportunity to build a Knowledge Library from the ground up and develop the React-based interfaces that bring AI insights to life. You will be the bridge between raw data and human-centric visualization. The work focuses on producing high-quality operational datasets, validation assets, and interactive interfaces used for AI-assisted incident analysis and root cause identification. Your work will contribute directly to AI knowledge quality, test readiness, and the presentation of AI results while remaining non-critical to production operations. Coding tasks may be assigned as needed to support both data structuring and UI development.
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Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed