Senior Solution Engineer

Senior AI Engineer, Enterprise

Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. ABOUT THE TEAM The GTM AI Engineering team is part of Snowflake's Data Analytics & AI organization and builds the internal AI platform and intelligent applications that power Snowflake's Go-To-Market organization. We develop production-grade AI systems used daily by thousands of employees across Sales, Solution Engineering and Marketing. As a Senior AI Engineer, you will build the backend services, platform infrastructure, and AI capabilities that power next-generation agentic applications. You will work at the intersection of distributed systems, backend engineering, applied AI, and internal product development, designing scalable, reliable, and secure systems that enable intelligent experiences with direct business impact. This role offers the opportunity to shape a rapidly growing internal AI platform, establish engineering best practices, and build AI products that directly accelerate Snowflake's growth. IN THIS ROLE, YOU WILL: * Design and build scalable backend services and distributed systems that power production AI and agentic applications. * Develop APIs, orchestration services, and platform capabilities for internal AI products. * Build reusable AI platform components, including agent frameworks, evaluation pipelines, developer SDKs, templates, and shared Python libraries. * Evolve our engineering platform through modern CI/CD pipelines, automated testing, deployment tooling, and developer experience improvements. * Optimize AI infrastructure and backend services for performance, scalability, reliability, security, and cost efficiency. * Leverage Snowflake Cortex, Snowpark, and the broader Snowflake AI ecosystem to build intelligent data applications. * Establish engineering best practices around testing, observability, monitoring, evaluation, and production readiness for AI systems. * Collaborate closely with product managers, data engineers, designers, and GTM stakeholders to deliver high-impact AI solutions. * Stay current with advances in AI engineering and help drive adoption of modern technologies, frameworks, and development practices across the team. WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE: REQUIRED QUALIFICATIONS * 5+ years of professional software engineering experience with a Bachelor's degree (or higher) in Computer Science, Software Engineering, or a related technical field. * Strong proficiency in Python (3.11+) with experience writing production-quality, well-tested, maintainable code using modern Python practices. * Experience building RESTful APIs and backend services using FastAPI or similar frameworks. * Experience designing and operating distributed systems and microservice architectures. * Strong understanding of software engineering best practices, including testing, CI/CD, code quality, observability, and production operations. * Experience with containerization technologies such as Docker. * Hands-on experience building production AI applications using large language models. * Experience with prompt engineering, tool calling, structured outputs, and LLM orchestration frameworks. * Strong problem-solving skills, excellent communication, and the ability to work effectively in a fast-paced, collaborative environment. PREFERRED QUALIFICATIONS * Experience with the Snowflake platform, including Snowpark, Cortex AI, Snowpark Container Services, Snowflake Connector, and Snowflake CLI. * Experience building agentic applications using frameworks such as LangGraph or similar multi-agent orchestration frameworks. * Experience with AI evaluation, monitoring, guardrails, and observability frameworks. * Familiarity with model serving, inference optimization, and AI infrastructure. * Experience working with large-scale data platforms, ETL pipelines, and modern data engineering workflows. * Experience building full-stack AI applications using Streamlit, React, or similar frameworks. * Experience with Python data libraries such as pandas and NumPy. * Familiarity with modern AI development tools such as Cursor, Claude Code, Cortex Code, or similar AI-assisted development environments. * Experience working with cloud-native infrastructure and Kubernetes is a plus. WHY JOIN OUR TEAM? Joining the GTM AI Engineering team means building AI products that have a direct and measurable impact on Snowflake's business. You'll help define the architecture of our internal AI platform while developing intelligent applications used every day by thousands of employees across our global Go-To-Market organization. This is a unique opportunity to combine backend engineering, distributed systems, and applied AI to solve real business problems at scale. You'll work alongside world-class engineers and product leaders while helping shape how AI transforms the way Snowflake operates internally. If you're passionate about building production-grade AI systems, enjoy solving complex engineering challenges, and want to help define the future of enterprise AI, we'd love to hear from you. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Sr. Enterprise Data & AI Architect

Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake empowers enterprises and people to reach their full potential. Our culture is centered on impact, innovation, and collaboration, creating a place where you can build big, move fast, and grow your career. We’re looking for a Sr Enterprise Data & AI Architect to join a specialized team that guides our largest customers through complex data and AI transformations. Reporting to the Director of AFE Architecture, this person will: * Shape enterprise data and AI architectures across AWS, Azure, GCP, and the Snowflake Data Cloud * Provide hands-on technical leadership in Enterprise Data Platforms, Enabling a Data Driven Organizational Culture, AI/ML * Advise C‑level executives (e.g. CTO, CDO, VP Engineering) on strategic architecture decisions and investment choices. This role blends deep hands on technical expertise with executive presence. You should be able to design sophisticated AI/ML solutions and comfortably influence technology strategy at Fortune 500 organizations. KEY RESPONSIBILITIES STRATEGIC ARCHITECTURE LEADERSHIP * Be part of a specialized team scaling thought leadership and driving direct complex, architecture‑level customer engagements (L400/L500) across the entire Snowflake sales organization * Define and drive cloud integration strategies across major cloud providers and key ecosystem partners. * Oversee and build proofs of concept, migrations, and modernization programs, providing hands‑on technical guidance. * Create reusable assets (presentations, reference architectures, and implementation guides). AI & DATA PLATFORM ARCHITECTURE * Design and review modern AI/ML architectures on Snowflake, including data platforms, pipelines, and production applications. * Guide customers in moving from legacy to cloud‑native, AI‑ready architectures. * Architect solutions leveraging Snowflake Cortex, ML capabilities, and integrations with leading AI frameworks. * Ensure secure, governed AI/ML deployments, including LLM safety, data privacy, and compliance. * Define MLOps/LLMOps and RAG/agentic patterns for training, deployment, and monitoring at scale. * Advise on build vs. buy decisions and cost models for training, inference, and managed AI services. COMPETITIVE & MARKET INSIGHT * Develop a deep understanding of competitive cloud data and AI platforms and how Snowflake differentiates. * Build competitive playbooks, battle cards, and guidance for field teams. * Partner with Product and Engineering to inform a roadmap based on customer and competitive insights. EXECUTIVE ADVISORY & ENGAGEMENT * Act as a trusted advisor to senior technology and business executives on data and AI transformation. * Lead high‑stakes customer reviews where architecture choices have major strategic and financial impact. * Represent Snowflake at industry events, executive briefings, and strategic forums. * Help customers shape AI investment strategies using ROI frameworks and TCO/business case analysis. TEAM DEVELOPMENT & OPERATIONS * Mentor, and develop a world‑class enterprise architecture practice across the broader solution engineering organizations * Drive knowledge sharing and continuous learning within the team and across Sales, Customer Success, and Product. WHAT YOU BRING * 15+ years in enterprise architecture, solutions engineering, or similar technical leadership roles, with increasing scope. * Deep hands‑on AI/ML experience, including LLMs, ML pipelines, and AI application architectures. * Expert‑level knowledge of cloud data platforms (e.g., Snowflake, Databricks, AWS, Azure, GCP) and multi‑cloud architectures. * Proven track record influencing executive‑level technology decisions at large enterprises. * Strong understanding of AI governance, data privacy, and compliance for enterprise AI. * Solid technical foundation: SQL mastery, Python/data engineering, and familiarity with the modern data stack. * Experience in competitive enterprise selling, including platform displacement or co‑existence. * Expertise in modern AI architecture patterns (MLOps/LLMOps, RAG, vector databases, agentic frameworks). * Evidence of building AI business cases and TCO models, and demonstrating measurable ROI. * Exceptional communication skills, with the ability to simplify complex concepts for executive audiences. * Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree preferred. PREFERRED * Experience leading architecture practices at a major cloud provider or enterprise software company. * Published thought leadership in data architecture, AI/ML, or cloud transformation. * Direct experience architecting and operating production AI/ML systems at scale. * Background in professional services, consulting, or customer‑facing technical roles. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. The application window is expected to be open until July 26, 2026. This opportunity will remain posted based on business needs, which may be before or after the specified date. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Senior Web Engineer

Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. WHO WE ARE Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud. WHO YOU ARE As a Senior Web Platform Engineer, you are a hands-on, full-stack individual contributor and a driving force behind Snowflake's global corporate website — a high-traffic, public-facing platform built on Adobe Experience Manager (AEM) Cloud with server-side rendered React. You move fluidly between frontend and backend, bringing deep expertise across React, TypeScript, Java, and AEM's content platform, and you thrive at building fast, accessible, and scalable web experiences that drive engagement and conversion. You're joining a team that is actively redefining what a website — and a web team — looks like in an AI-native world. We don't just use AI coding assistants. We're building and deploying autonomous AI agents across our entire workflow: agents that build pages, agents that run QA, agents that manage translations, agents that generate structured data and optimize content at scale. And we go further than most — we're actively integrating Snowflake's own AI products directly into the website, creating a bi-directional relationship between the platform and the product. If the idea of working alongside AI teammates, shipping AI-powered web experiences, and using the product you're helping market excites you as much as it excites us, this is the role. You operate with a product mindset, balancing technical excellence with business impact, and you're energized by the challenge of modernizing a large-scale platform while simultaneously pioneering new ways of working with AI. On a small, high-impact team, you wear many hats — writing code one hour and leading a cross-functional meeting the next. You are comfortable mentoring vendor and global engineering partners and influencing outcomes through technical leadership and collaboration. This role reports to the Senior Manager, Web Engineering and sits within the Global Web team as part of the Brand Marketing organization. WHAT YOU’LL DO * Ship features, fix bugs, and improve the platform daily across the full stack — React components, server-side rendering, Sling Models, OSGi services, servlets, and content APIs. This is a hands-on coding role first, with technical leadership layered on top. * Contribute to the team's AI agent ecosystem: help design, build, test, and improve autonomous agents that handle page creation, QA validation, content translation, structured data generation, and other workflows that traditionally required manual engineering effort. * Build frontend experiences and backend services for AI-powered features, including chatbot interfaces, automated translation, personalized content delivery, and intelligent search — leveraging Snowflake's own AI products. * Drive ongoing platform modernization — caching strategies, performance optimization, and architectural improvements that keep the site fast, scalable, and future-proof. * Take projects from scoping through delivery, collaborating cross-functionally with teams like SEO, Developer Relations, Product Marketing and more. * Uphold and champion coding standards, accessibility requirements (WCAG AA), and testing practices across internal and vendor teams. * Build and maintain integrations with external services, including analytics platforms, CDN layers (Cloudflare, Fastly), third-party APIs, and Snowflake's own AI products. * Collaborate with vendor and global engineering partners, providing technical direction and code reviews to ensure quality and consistency. WHAT YOU’LL HAVE * Proactive self-starter with a strong sense of ownership and initiative. * Full-stack expertise spanning React/TypeScript on the frontend and Java/AEM on the backend, with hands-on experience delivering across both layers. * Hands-on experience with Adobe Experience Manager (AEM) — Sling Models, OSGi services, HTL, and content APIs. * Demonstrated success driving measurable performance improvements on large-scale, public-facing websites. * Strong understanding of web performance fundamentals — Core Web Vitals, rendering pipelines, caching architectures, query optimization, and async processing. * Genuine enthusiasm for AI-augmented development — not just using AI tools, but actively shaping how AI agents participate in engineering, QA, content, and operational workflows. * Strong cross-functional collaboration and communication skills, with the ability to lead meetings, align stakeholders, and drive decisions across design, engineering, marketing, and operations teams. * Experience championing technical standards and mentoring other engineers, including vendor and global teams. * A pragmatic, outcome-focused mindset with strong attention to detail and code quality. * Experience working in fast-paced environments with competing priorities and high expectations. * Quick to understand complex enterprise platforms and multi-layer delivery architectures. PREFERRED SKILLS AND EDUCATION * Minimum of 5–7 years of experience in full-stack or frontend/backend web engineering, ideally supporting large-scale, public-facing B2B or enterprise websites. * Deep AEM Cloud experience and familiarity with modern AEM development patterns. * Experience with server-side rendering frameworks and client-side hydration patterns. * Experience designing caching strategies (in-memory, CDN, application-level) and optimizing backend performance for high-traffic environments. * Experience working with AI/LLM-powered tools, agents, or workflows in an engineering context — whether building AI features, integrating LLM APIs, designing agent systems, or using AI-assisted development tools to meaningfully accelerate delivery. * Familiarity with CDN and edge platforms (Cloudflare Workers, Fastly, Dispatcher) and content delivery optimization. * Familiarity with web analytics platforms (Adobe Analytics, Heap) and experimentation tools (Adobe Target, Optimizely). * Bachelor's degree in Computer Science, Engineering, or equivalent professional experience. * Experience working within Agile or iterative delivery environments. LET’S DO THIS! The Snowflake web team is a tight-knit, dynamic group responsible for shaping the future of the Snowflake brand — and we're rewriting the playbook on how web teams operate in an AI-first world. We're scaling our team to help enable and accelerate our growth, and we're looking for engineers who see AI not as a buzzword but as a fundamental shift in how great websites get built. If you want to work on a team that ships production AI agents alongside production web experiences, and you want to play a part in creating a global iconic brand, we want to hear from Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee’s duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com