Snowflake has 80 active AI-related job listings, with a significant focus on roles within the agents stage, comprising 64% of their openings. The majority of these positions are in Engineering. The company is actively hiring in the United States and Poland. Frequent technology tags include agent_orchestration, llm_observability, and model_serving, suggesting a concentration on developing and deploying AI agents. Over the last 30 days, Snowflake has posted 28 new AI roles, representing a 28% decrease compared to the previous 30-day period.
Currently tracking 57 active AI roles, down 43% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $156k–$380k (avg $250k).
Snowflake currently has 73 active AI-related roles in our index. The most common open titles are: Senior Technical Support Engineer, Observe by Snowflake (3), Applied AI Engineer (2), Senior Data Scientist (2), Senior Security Architect, Applied Field Engineering (AFE) (2), Engineering Manager - SnowConvert AI . Most positions are in Engineering and Product.
Snowflake's active AI hiring is concentrated in: agents (60%), application (23%), serving infrastructure (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Snowflake is hiring AI talent in: United States (61 roles), Poland (7 roles), Switzerland (2 roles), Australia (2 roles).
Job postings at Snowflake most frequently reference: agent orchestration, llm observability, model serving, rag, evals.
In the past 30 days, Snowflake has posted 13 new AI-related roles. That is a -70% change versus the prior 30 days (43 → 13).
| Title | Stage | AI score |
|---|---|---|
| Software Engineer Intern - Zurich (2026) Software Engineer Intern role at Snowflake focusing on building and scaling the infrastructure for an AI-powered observability platform. The role involves working with large-scale data processing, distributed systems, and cloud infrastructure, with a focus on enterprise AI applications. | — | 5 |
| Senior Software Engineer, Enterprise Senior Software Engineer for an AI-powered observability platform. The role involves building and scaling core features, APIs, and business logic for a high-performance platform that processes massive volumes of telemetry data. The engineer will own systems end-to-end, contribute to the data lakehouse model, and collaborate with various teams. A key aspect is partnering with SREs and customer-facing teams to diagnose production issues using AI-assisted workflows. | — | 5 |
| Senior Software Engineer - Observe by Snowflake, Metrics Platform |
| — |
| 5 |
| Senior Software Engineer - Observe by Snowflake, Indexing and Query Execution This role focuses on optimizing the query execution service for an AI-powered observability platform. The engineer will be responsible for improving query performance, caching strategies, and incremental execution, as well as diagnosing and resolving customer-reported latency issues. The role requires deep expertise in distributed systems and database performance at scale, with a focus on ensuring the reliability and efficiency of the platform. | — | 5 |
| Senior Technical Support Engineer, Observe by Snowflake Senior Technical Support Engineer for Snowflake's AI-powered observability platform, Observe by Snowflake. The role involves providing expert technical support, troubleshooting complex issues, partnering with engineering on performance, and helping to design and build AI skills to enhance support productivity. Requires strong technical expertise in SaaS, DevOps, observability, scripting, cloud platforms, and Kubernetes, with a focus on customer success and process improvement. | Agent | 5 |