SAS is looking for an intern to help design modern, cloud-ready AI architectures that connect devices, ingest high-velocity streaming data, operationalize AI models, and deliver outcomes for IoT applications. This involves turning business problems into scalable technical solutions.
Requirements
- Proficient in Python, with exposure to Java, Scala, or TypeScript; solid understanding of SQL fundamentals.
- Familiar with core architectural concepts including components, APIs, data flows, interfaces, and non-functional requirements.
- Foundational knowledge of cloud platforms (Azure, AWS, or GCP), containerization (Docker, Kubernetes), and version control using Git.
- Hands-on experience with messaging systems like Kafka and MQTT, and familiarity with IoT communication protocols.
- Understanding of AI lifecycle concepts, including Generative AI and Agentic AI process flows.
- Exposure to machine learning and deep learning frameworks such as TensorFlow, PyTorch, or ONNX.
- Knowledge of schema design for high-velocity sensor data, including partitioning, idempotency, and de-duplication strategies.
Responsibilities
- Design, develop and document architectures and applications for IoT/realtime AI use cases, including Computer vision, GenAI and Agentic AI concepts and technologies
- Document best practices for architecture, model inferencing, including guidelines for fast, efficient deployment
- Develop and contribute to PoCs, demos and prototypes for IoT and streaming AI pipelines (e.g., MQTT, Kafka, API, sensors, video streams,…); help design Cloud and on-premise architecture, processing and dashboards to showcase value and readiness.
- Create technical collateral (solution briefs, diagrams, demos) used by Solution Advisors in customer engagements.
- Collaborate with R&D, Product Management, and Industry advisory teams
Other
- You’re an undergraduate college student enrolled in an accredited program studying Computer Science, Computer Engineering, Information Systems, or a related field enrolled, *not graduating prior to December 2026
- Strong written and verbal communication skills; confident presenting complex technical concepts to both technical and non-technical audiences.
- You’re curious, passionate, authentic, and accountable.
- 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.
