AI Devops Engineer Intern, Enterprise Support Operations - Summer 2026

Snowflake•Bellevue, WA

11d

About The Position

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. There is only one Data Cloud. Snowflake’s founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn’t stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow. We’re looking for dedicated students who share our passion for ground-breaking technology and want to create a lasting future for you and Snowflake. We are seeking a proactive and skilled AI Devops Engineer Intern to join our Enterprise Support Operations team. In this role, you will be instrumental in leveraging AI and machine learning to optimize our support processes. You will work directly with Support Leadership to enhance our data analytics capabilities, build new automation workflows, and develop AI assistants that reduce manual workload. Your work will directly empower our support teams, allowing them to focus on complex, high-value tasks and grow their skill sets.

Requirements

Must be actively enrolled in an accredited college/university program during the time of the internship
Education: Working on a Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
Technical Skills:
Proficiency in programming languages, with a strong emphasis on Python.
Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
Familiarity with cloud platforms (AWS, Azure, or GCP) and deploying machine learning models.
Experience with version control systems, particularly Git.
Problem-Solving & Communication:
Strong analytical and problem-solving skills with a creative approach to complex challenges.
Excellent communication skills to translate technical concepts to non-technical stakeholders, including support leadership and team members.
A proactive mindset and a desire to learn and adapt in a fast-paced environment.

Responsibilities

Develop and Deploy AI Solutions: Design, build, and implement AI/ML models and applications to automate routine support tasks and resolve common service requests and incidents.
Enhance Data Analytics: Collaborate with support leadership and data analysts to improve existing data pipelines and build new analytical models that provide actionable insights into support metrics (e.g., ticket resolution times, root causes, and customer sentiment).
Build Smart Automations: Create intelligent workflows that automatically categorize, route, and respond to support tickets, reducing the need for manual intervention.
AI Assistant Development: Develop and maintain AI-powered assistants or chatbots to provide immediate, accurate answers to common customer queries, freeing up human agents.
Data Management: Work with large, unstructured datasets from service requests and incidents, including data cleaning, preprocessing, and feature engineering to prepare data for model training.
Performance Monitoring: Monitor the performance of deployed models and automations, making continuous improvements based on performance data and feedback from the support team.
Team Collaboration: Partner with support engineers and managers to identify automation opportunities and ensure AI solutions are seamlessly integrated into existing workflows.

Benefits

Paid, full-time internships in the heart of the software industry
Post-internship career opportunities (full-time and/or additional internships)
Exposure to a fast-paced, fun and inclusive culture
A chance to work with world-class experts on challenging projects
Opportunity to provide meaningful contributions to a real system used by customers
High level of access to supervisors (manager and mentor), detailed direction without micromanagement, feedback throughout your internship, and a final evaluation
The opportunity to make a significant, measurable impact on the efficiency and effectiveness of a large-scale support organization.
A collaborative and supportive work environment where your ideas are valued.
Access to cutting-edge tools and technologies.
Opportunities for continuous learning and professional development in the rapidly evolving field of AI.