Software Engineer AI Team

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.

We're looking for a talented and motivated Software Engineer to join the Cortex AI Functions Platform team. AI functions are how Snowflake customers call AI directly from SQL, running models over their own tables without moving data out of the platform.

Your journey as a Software Engineer

Working in our team you will:

• Think creatively to find optimal solutions to our complex, often ambiguous problems
• Participate in all stages of building and running the platform behind Snowflake's AI functions, from design and implementation through rollout and production support
• Work closely with research teams, as well as product and engineering partners, to understand and shape the short and long-term product development strategy
• Serve as a mentor to less experienced engineers

Ideal candidate

• 4+ years of experience building production backend or distributed systems in C++, Java, Go, Python, or a comparable language
• BSc in a technical field (CS, EE, Physics, Math, etc), MSc/PhD is a plus
• Experience designing and operating high-throughput services, including handling concurrency, backpressure, partial failures, and observability
• Experience designing service or RPC APIs, such as REST or gRPC
• Experience with software engineering best practices (programming, testing, version control, CI/CD, containers, agile development, etc)
• Experience with building distributed systems that guarantee high throughput without compromising on reliability
• High levels of curiosity and eager enthusiasm for open-ended problems, and the ability to turn a loosely defined problem into a scoped, testable design
• Ability to articulate results and complex concepts to leadership
• Must be able to produce solutions independently in an organized manner, as well as work in a team
• Experience with SQL engines, query execution, or other large-scale data systems is a strong asset
• Hands-on experience in the MLOps field (e.g., deploying ML models) is a plus