Why This Job is Featured on The SaaS Jobs

This internship sits at the intersection of two defining SaaS trends: AI-assisted operations and the industrialization of customer support. Within Snowflake’s cloud data platform context, the work is positioned close to the systems that keep enterprise SaaS reliable at scale, where automation, observability, and workflow design directly influence customer experience and internal efficiency.

For a SaaS career, the role builds practical fluency in taking models from prototype to deployment and then managing them as living services. The emphasis on support analytics, ticket automation, and AI assistants maps to recurring problems across SaaS companies, namely turning operational data into measurable improvements and reducing repetitive load through tooling. Experience here tends to transfer well into platform engineering, MLOps, internal tooling, or data-informed operations roles that sit between product usage and service delivery.

This is best suited to an early-career engineer who prefers applied work over research, and who enjoys partnering with non-product stakeholders such as support leadership. It will fit someone comfortable iterating on real workflows, validating outcomes with metrics, and balancing experimentation with the discipline required for production environments handling sensitive customer information.

The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.

Job Description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

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.

WHAT WE OFFER :

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.

WHAT WE EXPECT :

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.

WHAT YOU WILL LEARN / GAIN :

Key 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.

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

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