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 |
|---|---|---|
| AI Engineer - Cortex Code Quality AI Engineer focused on building and deploying coding agents for data applications within Snowflake's Cortex platform. The role involves owning the end-to-end AI engineering lifecycle, including agent design, prompt/tool engineering, evaluation, deployment, and optimization, with a strong emphasis on enterprise-grade features like function calling, tool schemas, guardrails, and agent teams. The position also requires designing and implementing evaluation pipelines and metrics to improve agent performance. | AgentEval Gate | 9 |
| Principal Software Engineer - Snowflake Intelligence Principal AI Engineer role focused on defining the technical vision and architectural design for Snowflake Intelligence, an AI product for enterprise data. The role involves leading the development of multi-agent systems, NL-to-SQL engines, and enterprise-scale RAG, with a strong emphasis on reliability, automated evaluation infrastructure, and cross-functional influence. It requires deep expertise in LLM orchestration, prompt optimization, guardrails, and integrating AI with traditional data stacks. |
| AgentEval Gate |
| 9 |
| AI Engineer - Database Engineering AI Engineer focused on building agentic workflows, coding harnesses, and evaluation pipelines within Snowflake's core database engine. The role involves owning the full AI engineering lifecycle from design to deployment and optimization, with a strong emphasis on enterprise-grade context engineering, guardrails, and systematic evaluation of AI features. | AgentEval Gate | 8 |
| Software Engineer, Cortex AI Infrastructure Software Engineer focused on building the backend infrastructure for agentic AI enterprise products, including orchestration engines, RAG systems, and evaluation infrastructure. | AgentEval Gate | 8 |
| Senior Applied AI Engineer Senior Applied AI Engineer at Snowflake, focused on leading customer AI programs, defining and owning AI quality through evaluation frameworks, mentoring engineers, and productionizing agentic AI solutions. This role involves hands-on contribution to ML pipelines and agentic AI, acting as a senior technical advisor to customers and collaborating with product/engineering teams to shape the AI platform. Requires experience with LLMs, RAG, agentic workflows, and evaluation methodologies, with a significant customer-facing component. | AgentEval Gate | 8 |
| Applied AI Engineer Applied AI Engineer at Snowflake focused on building and deploying enterprise-grade AI agents and solutions for customers. The role involves owning the end-to-end lifecycle, defining and measuring quality, productionizing AI at scale with guardrails and observability, and acting as a technical partner to customers. Requires experience with LLMs, RAG, agentic workflows, and evaluations. | AgentEval Gate | 8 |
| Senior Software Engineer - Observe by Snowflake, AI Products Senior Software Engineer for Snowflake's Observe AI Products team, focusing on building AI-powered observability features, including an AI SRE product, Slack integrations, CLI tooling, and agentic AI systems. The role involves full-stack development with a product-first mindset, aiming to improve how engineering teams resolve production issues. | AgentEval Gate | 8 |
| Staff Software Engineer, Cortex AI Infrastructure Staff Software Engineer focused on building and scaling the backend infrastructure for agentic AI enterprise products, including orchestration engines, RAG systems, and evaluation infrastructure. | AgentEval Gate | 8 |
| Sr. Enterprise Data & AI Architect Snowflake is seeking a Sr. Enterprise Data & AI Architect to guide large customers through complex data and AI transformations. This role involves shaping enterprise data and AI architectures, providing technical leadership in AI/ML, and advising C-level executives on strategic decisions. The architect will design modern AI/ML solutions on Snowflake, including MLOps/LLMOps and RAG/agentic patterns, ensuring secure and governed deployments. The position requires deep hands-on technical expertise, executive presence, and a strong understanding of cloud data platforms and AI governance. | AgentData | 8 |
| Analyst, Finance Analytics & AI This role focuses on designing and building AI agents and workflows for finance analytics at Snowflake. The primary responsibility is to encode repeatable finance processes into reusable tools using AI, with a strong emphasis on prompt engineering, skill authoring, and rigorous evaluation of model outputs. The role also involves building semantic data models for natural language querying and developing production finance dashboards. AI-assisted development is the core methodology, treating AI as a primary collaborator. | Agent | 8 |
| Staff AI Engineer - Snowflake Intelligence Staff AI Engineer focused on building agentic workflows, NL-to-SQL, and search features for Snowflake Cortex products. The role involves full AI engineering lifecycle ownership, including design, prompt/tool engineering, evals, deployment, measurement, and optimization, with a strong emphasis on enterprise-grade context engineering and leading a team. | Agent | 8 |
| Senior Software Engineer - Observe by Snowflake, APM & AI Observability Senior Software Engineer to own and drive the evolution of APM and AI observability products, focusing on AI-powered observability, streaming data pipelines, and backend platform engineering. The role involves building and optimizing pipelines for graph traversal and LLM-as-judge evaluations, designing backend services for monitoring agentic workflows, and collaborating cross-functionally to deliver products for both human and AI-native users. | AgentEval Gate | 7 |
| Senior Software Engineer - Observe by Snowflake, Monitoring & Alerting Senior Software Engineer for the Monitoring & Alerting team at Observe by Snowflake. This role involves driving high-impact features end-to-end, designing and scaling the monitoring and alerting pipeline for high concurrency and throughput SQL workloads, and owning the full product surface of the monitoring system. The role focuses on building AI-native workflows for monitor creation and alert triage, collaborating cross-functionally, and mentoring junior engineers. The platform is an AI-powered observability platform built on the Snowflake AI Data Cloud, engineered for enterprise scale. | Agent | 7 |
| Principal Architect, Global Manufacturing CTO Snowflake is seeking a Principal Architect with deep experience in the Manufacturing industry to design and deliver transformation initiatives powered by data, analytics, and AI. The role involves partnering with customers, translating manufacturing use cases into AI-powered solutions and architectures, creating end-to-end architectures and blueprints that embed AI/ML and agentic flows, driving repeatability and scale through solution assets, influencing the product roadmap, and acting as a thought leader. The ideal candidate has 10+ years of architecture experience in manufacturing, understands manufacturing data topics and challenges, can consultatively engage with customers using data and AI technologies, and has broad experience with data, cloud, and AI technologies. | Agent | 7 |
| Senior Software Engineer - Data Clean Room/ AI Data Hub Senior Software Engineer to architect and build scalable infrastructure for secure, multi-party data collaboration, focusing on AI-enabled capabilities and intelligent agents within a data clean room environment. The role involves designing core features, developer APIs, and supporting AI/ML workflows, with an emphasis on privacy-preserving analytics and large-scale distributed systems. | Agent | 7 |
| Consulting Manager, AI/ML This role manages a team of AI/ML Solutions Architects and Consultants, focusing on implementing and strategizing AI solutions for customers on the Snowflake platform. The manager provides technical oversight, mentorship, and thought leadership, staying abreast of AI/ML advancements. The role requires experience across traditional ML and GenAI, including LLMs and agentic AI, with a focus on full lifecycle project delivery from ideation to production. It involves client-facing responsibilities, team recruitment, and driving GTM strategies. | AgentPost-train | 7 |
| Senior Web Engineer Senior Web Platform Engineer responsible for Snowflake's global corporate website, built on Adobe Experience Manager (AEM) Cloud with server-side rendered React. The role involves full-stack development, contributing to an AI agent ecosystem for workflows like page creation and QA, building frontend/backend for AI-powered features (chatbots, personalized content), driving platform modernization, and integrating with external services and Snowflake's AI products. The team is actively redefining website development in an AI-native world, using AI agents and integrating AI products into the website. | AgentServe | 7 |
| Senior SWE, AI Backend: Observe by Snowflake Senior Backend Engineer for Snowflake's AI-powered observability platform, Observe. The role focuses on building backend systems for AI features like context resolution APIs and alert-to-agent pipelines, emphasizing end-to-end ownership, product intuition, and collaboration with AI/ML engineers. Experience with LLM quality measurement and backend engineering at scale is required. | AgentServe | 7 |
| Senior Software Developer - Full Stack Senior Full Stack Software Engineer to build AI/ML-powered systems and integrate LLM capabilities into production systems, leveraging AI-native development workflows and tools like Claude Code and Snowflake Cortex. The role involves designing end-to-end applications, optimizing for performance, and collaborating to deliver customer-facing intelligent solutions. | Agent | 7 |
| Delivery Operations Systems & Process Manager This role focuses on architecting, optimizing, and scaling systems and AI automation for a global delivery organization, specifically within Certinia PSA and Snowflake Smartsheet. The individual will design and deploy AI-powered workflows for project health scanning, staffing intelligence, predictive forecasting, and GenAI summaries, while also automating manual workflows and leveraging AI for operational improvements. The role requires experience in delivery operations, PSA/ERP systems, and implementing AI automation, predictive analytics, or agentic workflows, including leveraging coding agents. | Agent | 7 |
| Data Architecture Lead Lead the architecture and development of AI-powered tooling and agent frameworks for data and analytics engineering teams, focusing on LLM-enabled automation and prompt engineering within the Snowflake ecosystem. This senior individual contributor role involves defining architectural standards, elevating RBAC frameworks, and partnering with product teams. | Agent | 7 |
| Senior Security Architect, Applied Field Engineering (AFE) Senior Security Architect focused on building secure foundations for enterprise AI adoption, specifically agentic AI frameworks and leveraging Snowflake Cortex. The role involves architecting secure AI solutions, implementing governance, and ensuring data privacy for AI applications, while also contributing to modern security operations and influencing product roadmaps. | Agent | 7 |
| Senior Security Architect, Applied Field Engineering (AFE) Senior Security Architect role focused on enabling secure AI adoption for enterprises using Snowflake's platform. The role involves designing secure architectures for agentic AI frameworks, implementing AI security measures like Cortex Guard and AI Observability, and ensuring data privacy and governance for AI applications. It also includes transitioning customers to modern security operations and influencing product roadmaps. | Agent | 7 |
| Solutions Architect Solutions Architect role focused on designing, implementing, and advising on AI/ML solutions and MLOps practices on the Snowflake platform. The role involves customer engagement, technical leadership, and driving adoption of Snowflake's AI product suite, with a strong emphasis on generative AI and LLM use cases. | AgentData | 7 |
| Software Engineer - SnowConvert AI Software Engineer role focused on building AI-driven migration products for Snowflake. The role involves developing foundations for AI agents that perform code conversion, data migration, and validation, aiming to accelerate application migration to Snowflake. It emphasizes strong software engineering in Python, experience with agentic AI applications (especially code gen), and contributions to agentic frameworks. | Agent | 7 |