Snowflake

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.

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.

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.

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.

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.

Staff Applied AI Engineer role at Snowflake focused on leading customer engagements for enterprise AI programs, including agentic AI solutions and LLM-based applications. The role involves hands-on technical leadership, mentoring engineers, and owning the full lifecycle from scoping to deployment and monitoring, with a strong emphasis on productionizing AI at scale and advising customers.

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.

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.

Staff Software Engineer focused on building and scaling the backend infrastructure for agentic AI enterprise products, including orchestration engines, RAG systems, and evaluation infrastructure.

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.

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.

Technical Director for AI Functions at Snowflake, focusing on integrating AI functions into SQL for data analytics. The role involves creating architecture, influencing product roadmaps, and leading teams to build and scale AI-powered analytics solutions within Snowflake's platform. This is a leadership role focused on shipping AI-driven products to customers.

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.

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.

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.

Product Manager to lead the strategy and execution for Snowflake's Cortex LLM Platform, focusing on foundational infrastructure for LLM serving at scale, AI model performance, inference elasticity, and cost-efficiency for enterprise AI applications.

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.

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.

Principal Software Engineer on Customer Experience Engineering (CXE) team at Snowflake. This role involves shaping the architecture, reliability, and evolution of platforms and applications used by support engineers, field teams, and customers. The engineer will work across services, data pipelines, and applications to improve understanding of customer environments, early issue detection, and drive data-informed customer interactions. Key responsibilities include setting technical direction, owning and delivering high-impact initiatives, raising engineering excellence standards, collaborating across functions, and providing technical leadership and mentorship. The role requires experience with AI technologies like LLMs, vector search, embeddings, and building/integrating AI agents into production workflows, along with cloud-native infrastructure and observability.

Senior Solution Engineer focused on Snowflake's AI Data Cloud, demonstrating and strategizing customer adoption of AI/ML features like Cortex AI, Cortex Agents, and agentic workflows. The role involves designing LLM-powered applications, explaining AI differentiation, and staying current with Generative AI trends and competitive landscape.

Senior Manager of Data Science to lead high-impact analytics and AI initiatives across Snowflake’s Go-To-Market organization, focusing on translating business problems into data science solutions to improve pipeline, conversion, and customer growth. The role involves managing a team, partnering with GTM stakeholders, and driving experimentation.

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.

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.

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.

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.

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.

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.

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.

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.

Software Engineer role focused on building and deploying LLM and agent-based architectures for customer support and sales, including fine-tuning models, developing agents, and implementing scalable evaluations. The role involves working with ML and LLM solutions to automate processes and augment technical staff capabilities.

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.

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.

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.

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.

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.

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.

This role focuses on building AI-powered conversational analytics experiences for HR teams using Snowflake Cortex. The responsibilities include owning the data layer, AI logic, and quality assurance, translating stakeholder needs into products, delivering actionable insights, and maintaining rigor through testing and validation. The role requires strong SQL, familiarity with the modern data stack, and experience with non-technical stakeholders, with a curiosity for AI and building LLM products.

Staff Software Engineer focused on building AI-first platforms and developer tooling to enhance agentic development workflows and improve developer productivity within the Apps & Experiences organization at Snowflake. The role involves designing and implementing scalable, performant systems, investing in observability, and collaborating across teams to deliver end-to-end AI-driven solutions for user experience features.

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.

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.

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.

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.

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.

Senior Principal Engineer - Front End role at Snowflake, focusing on building AI-powered interfaces and agent-generated UIs for SnowSight. The role involves defining architectural vision, developing innovative platform offerings, and collaborating with AI/ML teams to support high-capability agents. Requires deep experience in modern web applications, technical leadership, and a hands-on coding approach with a 'ship-it-today' mentality.

Senior Data Scientist role focused on building and deploying production-grade forecasting systems for core financial metrics at Snowflake. The role involves applying advanced time-series and probabilistic ML techniques, contributing to internal tooling, establishing best practices for model evaluation, and mentoring other data scientists. It operates at the intersection of machine learning, statistical research, and corporate finance.

Engineering Manager to lead a team building an AI-powered engine for migrating enterprise data applications and logic to Snowflake, focusing on understanding and rewriting code logic.

Snowflake is seeking a Developer Advocate for their Cortex Code Enablement team. This role focuses on creating documentation, guides, and examples, running hackathons, and designing Agent Skills to drive adoption of their AI-powered development experiences for data teams. The ideal candidate will have a strong technical foundation in AI patterns like RAG and agents, excellent communication skills, and a bias for action.

Principal Software Engineer II on the Product Security team responsible for the security posture of Snowflake products, with a focus on embedding security into the product lifecycle, driving security strategy across domains including AI security, and designing/developing frameworks and services to secure the platform and customer data. The role involves defining and influencing long-term security strategy, mitigating AI-related threats, and leveraging AI to enhance overall security.

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.

This role focuses on empowering System Integrator (SI) partners to successfully deploy AI/ML solutions on the Snowflake AI Data Cloud. The Senior Data Cloud Architect will guide partners through technical wins, production deployments, and building their AI/ML practices. Key responsibilities include strategic account alignment, developing rapid deployment frameworks, building partner capabilities, creating joint solutions, and providing hands-on expertise with Snowflake's Cortex AI and ML capabilities for various gen AI customer journeys.