Proven experience building and production applications using LLMs, especially with technologies like RAG and agentic workflows
Hands-on experience with the MLOps lifecycle, including model deployment, monitoring, and evaluation in a cloud environment (AWS, Azure, or GCP)
Strong understanding of data warehousing principles, architecture, and best practices
Experience in a customer-facing role (e.g., solutions architect)
Startup experience
WHY JOIN OUR TEAM AT SNOWFLAKE?
Join us in shaping the future of AI and data cloud technology. You'll work with cutting-edge AI tools and technologies while solving complex challenges for enterprise customers. Our team offers the unique opportunity to drive innovation at scale, working with some of the world's leading organizations while having access to Snowflake's advanced AI capabilities and infrastructure
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
Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience
3+ years of professional software engineering experience
A passion for tackling complex and ambiguous technical challenges, leveraging cutting-edge research and AI to deliver impactful solutions
Hands-on experience building and shipping LLM-based or ML applications
Proven hands-on experience with data modeling, ETL/ELT development, and performance tuning
Advanced proficiency in Python, Java, C++ or other backend programming languages with experience scripting and automating data workflows
Excellent problem-solving and communication skills, with an ability to articulate complex technical concepts to diverse stakeholders
A desire to thrive in a fast-paced, dynamic environment and the ability to adapt quickly to the ever-changing world of Generative AI