Summer 2026 - Applied AI and Modeling Intern

SAS•Cary, NC

About The Position

Nice to meet you! We’re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence – and questions into answers. If you’re looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you’ll find it here. We’re recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more. What you’ll do Looking for that internship? The game-changing one that’ll help you learn, grow, and chart your path forward? You’ll find it at SAS. Our interns aren’t coffee runners – they do real, meaningful work. Our award-winning internship program is focused on development, culture, and community. We’ll help you grow professionally, find (or further) your passion, and make memorable connections that last beyond the summer. AAIM Engineering is part of SAS’s Applied AI and Modeling (AAIM) division, focused on delivering models and agents-as-a-product to customers. Our mission is to transform advanced analytics and AI models into scalable, production-ready solutions that drive real-world impact across industries. We build a repeatable software process for model delivery, ensuring performance, scalability, and quality at every stage. This includes: ModelOps Pipeline Development: Automating the lifecycle from model artifact to containerized product, integrating security scans, validation, and continuous delivery. Infrastructure & Tooling: Providing developers with frameworks, SDKs, and best practices to accelerate deployment and monitoring. Performance & Compliance: Optimizing container runtime, validating KPIs, and ensuring legal, regulatory, and security standards. Innovation & Enablement: Supporting cutting-edge use cases like predictive maintenance, fraud detection, and supply chain optimization through containerized models and REST APIs. Interns at AAIM Engineering work on projects, such as: Building and testing SDKs for model packaging and integration. Enhancing dashboards for operational metrics and performance monitoring. Developing various aspects for Agentic infrastructure. This is an opportunity to learn ModelOps at scale, gain hands-on experience with cloud-native technologies (Kubernetes, containers, REST APIs), and contribute to solutions that shape the future of applied AI.

Requirements

Undergraduate student studying Computer Science, Engineering, or similar degree program; not graduating prior to December 2026.
You've got programing experience in one or more of the following languages: Python, C, etc.
You’re curious, passionate, authentic, and accountable. These are our values and influence everything we do.
Strong communication skills – both written and verbal.
Leadership abilities. Your past experiences demonstrate you’ll take initiative and go above and beyond the call of duty.
You’re interested in the future of Analytics and embrace technology.

Responsibilities

Building and testing SDKs for model packaging and integration.
Enhancing dashboards for operational metrics and performance monitoring.
Developing various aspects for Agentic infrastructure.

Benefits

Work with (and learn from) the best. As a SAS intern, you’ll get face time with our top executives!
Free SAS programming training and certification.
At SAS, the Future of Work is whatever you want it to be. Want to work remotely? That’s cool. Prefer a mix of sweatpants and in-person collaboration? That’s great, too.
Your well-being matters, and that’s why we support all dimensions of your well-being by offering programs that reduce stress and distractions to help you stay healthy and productive. This includes an on-site and remote Work/Life Center staffed by master’s level Social Workers and an Employee Assistance Program.
We work hard, but we like to play hard, too. Enjoy hackathons, social events and other opportunities to connect + engage.

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