AI Developer, Enterprise Support Operations

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.

We are seeking a proactive and skilled AI Developer to join our Enterprise Support Operations team. In this role, you will be instrumental in leveraging artificial intelligence 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.

• 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.

• Experience: 1-2 years of professional experience in an AI Developer, Machine Learning Engineer, or similar role.

• Education: 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.

  • Solid understanding of machine learning algorithms and concepts, including natural language processing (NLP).

  • Experience with data manipulation and analysis libraries like Pandas and NumPy.

  • Knowledge of Snowflake platform - Snowpark, Snowflake Cortex, Snowflake container services

  • 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.

• 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.

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.

The application window is expected to be open until November 3, 2025. This opportunity will remain posted based on business needs, which may be before or after the specified date.

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

The following represents the expected range of compensation for this role:

• The estimated base salary range for this role is $131,000 - $192,000.
• Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.

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