Data AI · Cloud data warehouse
Currently tracking 57 active AI roles, down 25% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $156k–$380k (avg $250k).
Snowflake currently has 82 active AI-related roles in our index. The most common open titles are: Senior Technical Support Engineer, Observe by Snowflake (3), Senior Data Scientist (2), Senior Security Architect, Applied Field Engineering (AFE) (2), Engineering Manager - SnowConvert AI , AI Engineer - Cortex Code Quality. Most positions are in Engineering and Product.
Snowflake's active AI hiring is concentrated in: agents (61%), application (22%), serving infrastructure (7%). 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 (70 roles), Poland (6 roles), Switzerland (2 roles), United Kingdom (1 role).
Job postings at Snowflake most frequently reference: agent orchestration, llm observability, model serving, rag, evals.
In the past 30 days, Snowflake has posted 22 new AI-related roles. That is a -21% change versus the prior 30 days (28 → 22).
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.
| Title | Stage | AI score |
|---|---|---|
| AI Research Scientist, New Grad – Agents & Reinforcement Learning Research Scientist role focused on building agentic frameworks, auto research agents, coding agents, and multi-agent systems using reinforcement learning techniques. The role involves developing and curating data pipelines for novel agentic and RL research, with a focus on recursive self-improvement and aligning agentic behaviors. The research is intended to be integrated into Snowflake's Data Cloud platform. | AgentPost-train | 9 |
| Post-Doctoral Researcher (Fixed-Term) Post-Doctoral Researcher in AI Research at Snowflake, focusing on applying machine learning to high-impact real-world domains like medicine, finance, and law. The role involves conducting independent and collaborative research, publishing high-quality work, designing and executing large-scale experiments, and developing models and systems that bridge AI capabilities with real-world application requirements. The position is a 24-month fixed-term contract. |
| Post-train |
| 9 |
| Staff Research Scientist, Exotic AI Staff Research Scientist, Exotic AI at Snowflake will build the next-generation training and learning platform for physical AI, focusing on models that perceive, reason about, and act within structured environments. This involves designing and building scalable training infrastructure for representation models, developing latent world models, architecting action/policy model pipelines, building generative simulator frameworks, and developing multimodal generative model capabilities. The role also involves leading cross-team technical decisions and driving research-to-production pathways. | DataPost-train | 9 |
| Staff AI Engineer - Cortex Code Agentic System Staff Machine Learning Engineer focused on building agentic systems and methodology for coding agents at enterprise scale, ensuring efficiency, repeatability, audibility, and shippability. The role involves owning quality pillars, designing experimentation pipelines, leading analysis of quality regressions, cross-functional leadership, and ensuring production-minded rigor for quality systems. | Eval GateAgent | 9 |
| Staff Research Scientist, AI Agents & LLMs Staff Research Scientist focused on building AI agents and LLMs for enterprise data, driving research into production systems, and defining research direction in agentic AI. | AgentPost-train | 9 |
| 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 |
| Senior Software Engineer - Cortex Training Senior Software Engineer for Snowflake's Cortex Training platform, focusing on scaling LLM post-training infrastructure. The role involves designing and building full-stack solutions, optimizing distributed systems for GPU compute, and productionizing research into reliable components for enterprise customers. | Post-trainServe | 8 |
| Senior Manager, Product Data Science Senior Manager to lead a Data Science team focused on AI-native deliverables, including agentic services and AI evaluation for new product features. The role involves both team leadership and hands-on technical work, leveraging AI tools to accelerate product development and data-driven decision-making within the Product organization. | Agent | 8 |
| Software Engineer AI Software Engineer AI role focused on the scalability, availability, and resilience of LLMs, NLP, and AI tools. The role involves contributing to the development and productization of platforms for cutting-edge AI projects, including multi-modal LLMs, and deploying inference stacks with quality gates at global scale. It also involves working on new architectures for multi-modal inference. | ServeAgent | 8 |
| 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 Product Manager - Data Observability Senior Product Manager to own the Data Observability product area at Snowflake, focusing on AI-first transformation of data quality, lineage, and root cause analysis. The role involves defining product strategy, driving development of AI and agentic features, leading cross-functional teams, and understanding customer needs in enterprise data infrastructure. | AgentData | 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 |
| Principal Software Engineer - AI Poland Principal Software Engineer for Snowflake's AI team, focusing on building and scaling customer-facing AI Functions product, a key Cortex Platform feature. The role involves designing and implementing highly scalable distributed platforms for AI ETL pipelines, ensuring operational readiness, and collaborating across teams to deliver AI services reliably at scale within the Snowflake ecosystem. | ShipServe | 8 |
| Principal Product Manager, Enterprise Data & AI Principal Product Manager for Enterprise Data & AI at Snowflake, focusing on leading the internal 'Customer Zero' strategy to build and productize foundational AI agentic capabilities. This role involves owning the roadmap, bridging internal innovation to product strategy, operationalizing agentic workflows, and partnering with engineering and business functions to transform enterprise operations with AI. | Agent | 8 |
| Research Intern (AI) - 2026 Research Intern (AI) at Snowflake, focusing on AI-powered products and R&D. The role involves contributing to cutting-edge AI/ML research projects, experimenting with scalable ML systems, and integrating new methods into Snowflake's AI stack. The ideal candidate is pursuing a PhD or MSc in a related field with a strong research background and programming skills. | Pretrain | 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 - Data Clean Room/ AI Data Hub Senior Software Engineer to architect and build scalable infrastructure for multi-party data collaboration hubs, focusing on AI-enabled capabilities, intelligent agents, and developer APIs for custom AI/ML workflows within a privacy-preserving environment. | Agent | 7 |
| RVP, Priority Support Engineering - EMEA This role leads the EMEA Priority Support Engineering team, focusing on AI-native, AI-augmented ways of working to deliver paid support offerings end-to-end. The RVP will build and evolve the AI-augmented engagement model, using AI to anticipate workload risk, scale proactive advisory, and surface insights. The role involves customer relationship management, sales cycle ownership for paid support programs, and team leadership, with a strong emphasis on leveraging AI to redefine how work gets done and deliver measurable value to enterprise customers. | Agent | 7 |
| Principal AI/ML Architect, Applied Field Engineering Snowflake is seeking a Principal AI/ML Architect for their Applied Field Engineering team to provide expertise and support in designing and architecting AI solutions on the Snowflake AI Data Cloud. This role involves working with technical decision-makers and data scientists, partnering with account teams to drive POCs, influencing product roadmaps, and creating content. The ideal candidate has 10+ years of experience building and deploying ML and generative AI solutions, familiarity with techniques like RAG and prompt engineering, and strong Python and ML package knowledge. | Agent | 7 |
| Senior AI/ML Architect, Applied Field Engineering Senior AI/ML Architect, Applied Field Engineering role at Snowflake, focusing on architecting and positioning AI solutions on the Snowflake AI Data Cloud for enterprise customers. Responsibilities include technical expertise, driving POCs, influencing roadmaps, publishing content, and maintaining sales engineering assets. Requires experience in building and deploying ML/GenAI solutions, familiarity with RAG, prompt engineering, fine-tuning, Python, ML packages, and data engineering tools. | Agent | 7 |
| Forward Deployed Engineer - Finance Analytics & AI Specialist Forward Deployed Engineer on the Finance Analytics & AI team at Snowflake. This role combines deep finance domain expertise with full-stack data capabilities to deploy Snowflake's AI platform into production systems for enterprise customers. Responsibilities include leading end-to-end deployments of Cortex Agents, building semantic models, shipping Streamlit apps, and authoring AI skills to automate finance workflows. The role also involves enabling customer teams, transferring knowledge, and providing product feedback. | AgentShip | 7 |
| 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 | 7 |
| Technical Architect Snowflake is seeking a Technical Architect to join their Services Delivery team in Tokyo. This role focuses on connecting business problems with Snowflake solutions, implementing best practices, and guiding customers in leveraging Snowflake's capabilities, including AI/ML solutions. The ideal candidate will have post-sales technical delivery experience, strong SQL and data analytics skills, and experience proposing and implementing AI/ML solutions for business challenges. The role also involves collaborating with internal teams and understanding the competitive landscape. | ShipAgent | 7 |
| Senior Software Engineer, AI Platform for User Experiences Senior Software Engineer on the Apps & Experiences Platform team at Snowflake, focusing on building backend services, platform infrastructure, and AI-powered capabilities for user-facing applications. The role involves developing an internal AI developer agent to democratize web app development by translating specs into production-ready features, and enhancing AI-assisted workflows for self-serve feature building. | AgentServe | 7 |
| Staff Analyst, People Analytics This role focuses on defining and building AI-powered conversational analytics experiences for HR teams using Snowflake Cortex. It involves owning the data layer, semantic design, evaluation frameworks, and ensuring data quality and security for sensitive HR data. The goal is to deliver actionable insights that drive business decisions and redefine how work is done within the People function. | AgentEval Gate | 7 |
| Software Engineer - Customer Experience Engineering Software Engineer role focused on building internal and external technologies for customer support and sales, specializing in ML and LLM-based solutions. The team develops production-grade systems to automate processes and augment staff capabilities, with current focus on LLMs for troubleshooting, scalable evaluations, process automation, and incident discovery using embeddings, LLMs, clustering, and agents. The role involves developing and refining ML models, designing metrics, implementing projects in Java/Python on Snowflake and Kubernetes, and collaborating with cross-functional teams. | AgentData | 7 |
| 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 Data Cloud Architect - Apps Snowflake is seeking a Principal Data Cloud Architect to power the era of the agentic enterprise. This role focuses on enabling partners to build and deploy AI-native solutions on the Snowflake Data Cloud. The architect will provide technical expertise, training, and architectural best practices to partners, helping them develop SaaS native apps, optimize data models, and build Gen AI applications. Key responsibilities include running training sessions, developing technical strategies for partners, and assisting with the deployment of ML models within Snowflake. | ShipData | 7 |
| Senior Data Scientist Senior Data Scientist role focused on building and operating production forecasting systems for financial metrics like revenue and bookings in a consumption-based business. The role involves developing scalable statistical and machine learning models, ensuring forecast accuracy, stability, and explainability, and partnering with various teams to improve forecast quality and operational trust. Requires strong modeling depth, production rigor, and ownership. | ShipData | 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 |
| Principal Data Cloud Architect - SI Partners This role focuses on enabling System Integrator (SI) partners to successfully deploy AI/ML solutions on the Snowflake AI Data Cloud. The Principal Data Cloud Architect will guide partners through technical wins, production deployments, and the development of AI/ML use cases using Snowflake's Cortex AI and ML capabilities. The role involves strategic account alignment, building partner practices, developing joint solutions, and mentoring junior architects, with a strong emphasis on accelerating the adoption and operationalization of AI/ML by customers through their SI partners. | ShipPost-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 |
| Director, Data Science – GTM (Data, Analytics & AI) Director of Data Science for Snowflake's Go-To-Market organization, focusing on analytics and AI initiatives to drive growth through data-informed decision making, experimentation, and advanced ML/AI products. Will lead a team, partner with GTM leadership, and establish measurement frameworks. | Ship | 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 |
| Principal Software Engineer II - Interoperable Foundations This Principal Software Engineer role focuses on building the foundational data layer for AI and agentic innovation at Snowflake. The core mission involves a 0->1 redesign of metadata systems, Apache Iceberg, and AI-ready storage to support large-scale AI workloads and enable AI agents to navigate and act upon massive datasets. The role requires deep expertise in distributed systems, database internals, and cloud-scale architecture. | Data | 7 |
| Senior Software Engineer - Customer Experience Engineering Senior Software Engineer role focused on building internal and external technologies for customer experience using ML and LLM-based solutions, including agent-based architectures for troubleshooting, process automation, and incident discovery. The role involves developing and refining ML models, designing metrics, implementing projects across the stack (Java, Python), and collaborating with cross-functional teams. Experience with LLMs, agents, embeddings, clustering, and production systems is required. | AgentEval Gate | 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 |
| Industry Architect – Advertising & Media Industry Architect for Advertising & Media at Snowflake, focusing on helping customers leverage Snowflake's AI Data Cloud for media measurement, marketing science, and privacy-safe data collaboration. The role involves designing end-to-end solutions for MMM, MTA, and unified measurement using AI/ML, and influencing product roadmaps. | AgentData | 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 |