Job Description
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.
Responsibilities
- Transform messy, historical incident logs into a high-quality Knowledge Library. You are essentially teaching the AI how to think by structuring symptoms, causes, and resolutions.
- Get hands-on with React to develop dashboards that visualize AI insights. Your work will allow stakeholders to interact with and validate AI outputs in real-time.
- Create the Gold Standard test datasets. By defining what a perfect AI answer looks like, you ensure our models are accurate, unbiased, and ready for prime time.
- Support Retrieval-Augmented Generation (RAG) by developing structured tagging and classification rules that help the AI find the right needle in the digital haystack.
- Collaborate with the team to integrate data from the Incident & Use Case Library into the UI for interactive visualization and demonstration
- Produce clear documentation, code comments, and data templates for ongoing dataset and UI expansion
We are looking for You:
You love finding patterns in data and turning “unstructured chaos” into organized, structured formats (JSON, spreadsheets, or databases)
You have a foundation in Python, Java, or JavaScript and a burning desire to sharpen your React or front-end skills
You’re fascinated by LLMs and want to see how they are actually deployed in a professional, enterprise environment
You take pride in writing clean code, clear documentation, and logical process maps
Proficiency in Python, Java, and Javascript
Hands-on experience handling structured data, experience with JSON is preferred
Understanding with frontend web development concepts (HTML, CSS, JS)
Familiarity with front-end frameworks (React, Angular, or similar)
Experience with React, prompt engineering, and IT Incident Management (ITIL)
Ability to communicate clearly with peers and stakeholders
Willingness to learn and work as a part of the team
Strong analytical and documentation skills
The Details
- Start Date: June 8th, 2026 (10-week summer intensive).
- Commitment: 40 hours/week.
- Hybrid Life: Minimum 3 days onsite (experience the culture in person!).
- Comp: $25 per hour.
Ready to build something that lasts? Apply now.
How to apply:
Please submit your application directly on our career page or Handshake along with your resume and cover letter outlining your interest in the internship and relevant qualifications. Please include links to your portfolio where applicable.
Applications deadline: March 16th, 2026
- Your datasets and UI components will be used in active AI Proof-of-Concepts (PoCs).
- Direct visibility with leaders who want to hear your ideas.
- A structured training program designed to help you gain experience working on impactful real-world project.
Samsung SDS America, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, status as a protected veteran, marital status, genetic information, medical condition, or any other characteristic protected by law.
We are committed to providing reasonable accommodations to participate in the job application or interview process for candidates with disabilities. If you need assistance and/or a reasonable accommodation, please send the request to your recruiter.
