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Currently tracking 57 active AI roles, down 43% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $156k–$380k (avg $250k).

Hiring
57 / 64
Momentum (4w)
↓-94 -43%
124 opens last 4w · 218 prior 4w
Salary range · avg $250k
$156k–$380k
USD · disclosed roles only
Tracked since
Mar '25
last role 2w ago
Hiring velocityscroll left for older weeks
1 new role
Dec 11
1 new role
Oct 21
2 new roles
Jan 13
1 new role
Mar 24
1 new role
May 5
1 new role
Aug 11
1 new role
18
1 new role
25
2 new roles
Sep 22
2 new roles
29
1 new role
Oct 20
1 new role
27
2 new roles
Nov 3
1 new role
17
3 new roles
24
1 new role
Dec 1
4 new roles
8
1 new role
15
1 new role
22
1 new role
Jan 5
8 new roles
19
9 new roles
26
8 new roles
Feb 2
6 new roles
9
9 new roles
16
18 new roles
23
18 new roles
Mar 2
22 new roles
9
17 new roles
16
30 new roles
23
43 new roles
30
27 new roles
Apr 6
51 new roles
13
56 new roles
20
54 new roles
27
57 new roles
May 4
45 new roles
11
41 new roles
18
18 new roles
25
20 new roles
Jun 1

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.

Auto-generated from active job postings · last refreshed 2026-05-24

Frequently asked questions

  • What AI roles is Snowflake hiring for?

    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.

  • What stage of AI development does Snowflake focus on?

    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.

  • Where is Snowflake hiring AI talent?

    Snowflake is hiring AI talent in: United States (61 roles), Poland (7 roles), Switzerland (2 roles), Australia (2 roles).

  • What technologies does Snowflake's AI team work with?

    Job postings at Snowflake most frequently reference: agent orchestration, llm observability, model serving, rag, evals.

  • How many AI roles has Snowflake posted recently?

    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).

Jobs (3)

53 AI · 391 total active
FilteredStageServe×FunctionEngineering×CountryUnited States×Clear all
Show
Active onlyAI only (≥ 7)
Stage
AllData · 1Pretrain · 1Serve · 4Agent · 36Eval Gate · 1Ship · 10
Function
AllEngineering · 44Product · 7Research · 2
Country
AllUnited States · 46Poland · 7
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
AI System Research and Development Engineer - Optimization
Snowflake is seeking an AI System Research and Development Engineer focused on optimizing LLM inference and training systems, as well as developing agentic systems. The role involves analyzing and optimizing GPU kernel performance, enhancing deep learning system efficiency and scalability, and contributing to agentic frameworks. The team has recently released innovations in inference optimization and large MoE foundation models, and collaborates with experts from DeepSpeed, vLLM, and TensorFlow.
ServeAgentEngineeringWA-Bellevue, United States6w ago9
Senior Software Engineer - Internal Observability
Snowflake is seeking a Senior Software Engineer to build AI-powered observability systems for their global data platform. This role involves designing and implementing large-scale telemetry pipelines and leveraging machine learning for anomaly detection, root cause analysis, and predictive insights to create an intelligent, autonomous system. The engineer will also focus on optimizing these systems for scale, latency, and cost efficiency, and mentor other engineers.
ServeEval Gate
Engineering
CA-Menlo Park, United States
4d ago
7
Senior/Staff Software Engineer - Machine Learning Platform (Inference)
Senior/Staff Software Engineer on the ML Platform team at Snowflake, focusing on building the next-generation platform for enterprise AI and LLM workloads. The role involves defining roadmaps, designing and executing on ML serving infrastructure, and ensuring operational excellence for customer-facing ML services, with a strong emphasis on LLM inference and serving fine-tuned models.
ServeEngineeringCA-Menlo Park, United StatesAug '257