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 |
|---|---|---|
| Senior Solution Engineer - Insurance Snowflake is seeking a Senior Solution Engineer for the UK market to help customers solve complex problems using Snowflake's technology. The role involves working with sales teams and partners to understand customer needs, strategize solutions, and guide customers through evaluation and implementation. The engineer will present Snowflake's technology and roadmap, conduct hands-on demonstrations, build technical champions, and collaborate with internal teams and partners. A strong understanding of data architecture, analytics, cloud technology, and SQL is required, along with excellent presentation and customer-facing skills. Experience with AI/ML technologies is preferred. | — | 5 |
| Principal Solution Engineer - Wealth & Asset Management Principal Solution Engineer for Wealth & Asset Management in the UK market. This role involves working with sales teams and partners to understand customer needs, strategize solutions, and demonstrate the value of Snowflake technology throughout the sales cycle. The engineer will present Snowflake's technology and roadmap, conduct hands-on demonstrations, build technical champions, and collaborate with internal teams and partners. The role requires experience with modern data technology, SaaS solution engineering, data architecture, cloud technology, and SQL, with a focus on solving customer business problems using Snowflake's solutions. While AI is mentioned as a collaborator and emerging capability, the core function is solution engineering and sales enablement, not direct AI/ML model development or deployment. |
| — |
| 5 |
| Senior Solution Engineer - Insurance This role is for a Senior Solution Engineer in the Insurance sector in the UK. The primary focus is on understanding customer needs, strategizing solutions using Snowflake technology, and guiding customers through the evaluation and implementation process. While the role emphasizes AI as a collaborator and encourages testing AI capabilities, the core function is solution engineering and sales support, not direct AI/ML model development or deployment. | — | 5 |
| Solution Engineer Snowflake is seeking a Solution Engineer for the UK market to help customers solve complex problems using Snowflake's technology. The role involves working with sales teams and partners to understand customer needs, demonstrate Snowflake's value, and strategize on solutions. The engineer will present Snowflake's technology and roadmap, conduct demos and proofs of concept, and collaborate with internal teams and partners. The ideal candidate has experience in solution engineering or architecture within a SaaS environment, strong presentation skills, and an understanding of data architecture, analytics, and cloud technology, with hands-on SQL experience. Experience with AI/ML technologies is preferred. | — | 5 |
| Senior Support Engineer This role is for a Senior Support Engineer at Snowflake, focusing on providing IT infrastructure support, managing tickets, developing procedures, and preparing hardware. While the company emphasizes an 'agentic enterprise' and AI as a collaborator, the core responsibilities of this role are traditional IT support functions, not direct AI/ML development or deployment. | — | 0 |