Snowflake

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 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.

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 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 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 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.

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.

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.

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.

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.

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.

Snowflake is seeking an AI 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, collaborating with cross-functional teams, and influencing product roadmaps. The ideal candidate will have experience building and deploying ML and generative AI solutions, familiarity with techniques like RAG and prompt engineering, and strong Python and ML package knowledge.

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.

Software Engineer role focused on building and scaling core features, APIs, and business logic for an AI-powered observability platform called Observe by Snowflake. The platform uses AI to provide rich context and automated workflows for faster issue detection and resolution, leveraging Snowflake's AI Data Cloud. The role involves working with massive volumes of telemetry data and enterprise customers.

This role focuses on driving co-sell objectives with Cloud Service Provider (CSP) partners by supporting customer success through use case wins, product integration launches, field enablement, and joint marketing. The Cloud Partner Solutions Engineer will own hyperscaler partnerships, combining technical credibility with business acumen to achieve measurable outcomes. Key responsibilities include developing joint GTM strategies, building integrated solutions, leading joint planning, driving co-sell execution in top accounts, delivering packaged POCs and workshops (including Cortex AI + cloud LLM services), and enabling partner field teams. The role requires technical depth in areas like Cortex AI, Iceberg, and cross-cloud architectures, enabling solutions integrating Snowflake with AWS, Azure, and GCP AI and data services.

Commercial Solution Engineer for Snowflake's AI Data Cloud, focusing on demonstrating and strategizing customer adoption of AI/ML features, Cortex AI, Snowflake Cortex Agents, and agentic AI workflows. The role involves presenting AI/ML vision, designing agentic workflows, and helping customers modernize to AI-first architectures leveraging vector search, RAG, and real-time inference. Requires familiarity with AI/ML concepts, LLMs, RAG, vector databases, and agentic patterns, with preferred experience in Python AI/ML libraries and building LLM applications or AI agents.

This role is for a Senior Technical Support Engineer on the Observe by Snowflake team, an AI-powered observability platform. The role involves providing expert-level technical support, troubleshooting complex issues, partnering with engineering on performance, and helping to design and build AI skills to improve support productivity. It requires strong technical skills in SaaS, DevOps, observability, scripting, cloud platforms, and Kubernetes, with a focus on customer success and process improvement.

Senior Technical Support Engineer for Snowflake's AI-powered observability platform, Observe by Snowflake. The role involves providing expert technical support, troubleshooting complex issues, partnering with engineering on performance, and helping to design and build AI skills to enhance support productivity. Requires strong technical expertise in SaaS, DevOps, observability, scripting, cloud platforms, and Kubernetes, with a focus on customer success and process improvement.

Senior Data Analytics Engineer for Snowflake's internal data platform, focusing on powering analytics for Finance, Sales, and HR. The role involves shaping platform architecture, leading data initiatives, ensuring data governance, and driving adoption of AI-assisted data workflows using LLM-powered tools and Cortex Agents. Requires deep expertise in Snowflake, dbt, and AI development tools.

Senior Data Analytics Engineer for Snowflake's internal data platform, focusing on powering analytics and driving adoption of AI-assisted data workflows. The role involves shaping data platform architecture, leading cross-functional initiatives, implementing governance, and setting technical standards, with a strong emphasis on integrating LLM-powered tools and agent frameworks.

This role focuses on building and operating systems to protect the Snowflake platform from abuse, misuse, and fraud, leveraging security engineering, data analytics, and machine learning. The engineer will design and deploy anti-abuse controls, research new services, and assess risks within applications and features.

This role focuses on protecting Snowflake and its customers from abuse, misuse, and fraud by designing, building, and operating systems at the intersection of security engineering, data analytics, and machine learning. The engineer will develop prevention controls, detections, and automation to mitigate abuse activity, with a focus on agentic enterprise applications.

Principal Software Engineer II to lead technical strategy and execution for Snowflake's Horizon Catalog, the Universal AI Catalog. This role involves setting technical vision, driving product influence, leading high-complexity initiatives, and mentoring engineers. The focus is on building AI-native capabilities for the agentic enterprise, including leveraging semantic metadata for AI experiences like RAG and enabling third-party agents.