Solutions Architect

Principal AI/ML Architect, Applied Field Engineering

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. Our Solution Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud. This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions. IN THIS ROLE YOU WILL GET TO: * Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the Americas. * Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases. * Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback. * Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos. * Influence, tailor and maintain Sales Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories. ON DAY ONE, WE WILL EXPECT YOU TO HAVE: * 10+ years of experience building and deploying machine learning and generative AI solutions in the cloud. * Familiarity and associated knowledge of generative AI techniques like RAG, few shot learning, prompt engineering, or fine-tuning that are used to operationalize enterprise AI use cases like interactive chat applications or text processing. * Deep knowledge of Python and common ML packages (such as LangChain, pandas, sklearn, and PyTorch) as well as data engineering tools and technologies like dbt, Airflow, and Spark. * Strong presentation skills to both technical and executive audiences, whether whiteboarding sessions or formal readouts and demos. * Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING: * Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages. * Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. AWS, Microsoft Azure, GCP, etc.) * 1+ years of practical Snowflake experience. * Knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.) 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 AI/ML Architect, Applied Field Engineering

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. Our Solution Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud. This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions. IN THIS ROLE YOU WILL GET TO: * Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the Americas. * Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases. * Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback. * Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos. * Influence, tailor and maintain Sales Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories. ON DAY ONE, WE WILL EXPECT YOU TO HAVE: * 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud. * Familiarity and associated knowledge of generative AI techniques like RAG, few shot learning, prompt engineering, or fine-tuning that are used to operationalize enterprise AI use cases like interactive chat applications or text processing. * Deep knowledge of Python and common ML packages (such as LangChain, pandas, sklearn, and PyTorch) as well as data engineering tools and technologies like dbt, Airflow, and Spark. * Strong presentation skills to both technical and executive audiences, whether whiteboarding sessions or formal readouts and demos. * Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING: * Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages. * Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. AWS, Microsoft Azure, GCP, etc.) * 1+ years of practical Snowflake experience. * Knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.) 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

Industry Architect – Retail & Consumer Goods

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 ROLE As an Industry Architect for Retail & Consumer Goods, you sit at the intersection of industry strategy, data, AI, and modern enterprise architecture. You will help leading retailers, brands, marketplaces, grocers, restaurants, and consumer goods companies reimagine how they operate, decide, and engage on top of Snowflake’s AI Data Cloud. Your mission is to turn high-value retail and consumer goods challenges into scalable data and AI solutions: from merchandising, supply chain, and store operations to loyalty, retail media, marketing, customer care, finance, and product content. This role goes beyond commerce alone. You will help shape how customers use Snowflake to power analytics, applications, agentic workflows, and AI-driven decisioning across the full retail value chain. You will pair deep industry understanding with modern data and AI architecture, partnering with field teams, product, marketing, and customers to shape how Snowflake shows up in Retail & Consumer Goods. You will alsohelp convert emerging Snowflake capabilities into repeatable architectures, demos, assets, and points of view that scale globally. This includes learning and leveraging the broader Snowflake product horizon - especially Snowflake Horizon, Cortex, Snowflake Intelligence, semantic layers, multimodal capabilities, and application patterns - and translating them into retail-relevant solutions where trust, governance, discoverability, and interoperability are core to business value. Snowflake is actively seeking a Retail & Consumer Goods Industry Architect to join our Field CTO organization. WHAT YOU’LL DO * Lead strategic customer engagements Partner with CIOs, CDOs, CTOs, enterprise architects, digital leaders, merchandising leaders, supply chain teams, marketing and loyalty leaders, store operations leaders, and data/AI teams on high-impact initiatives tied to business value. * Translate retail and CPG challenges into end-to-end architectures Turn real industry problems into clear solution patterns and roadmaps, including: * demand sensing and replenishment * inventory and fulfillment optimization * store and field operations * loyalty and customer intelligence * retail media and monetization * pricing, promotion, and assortment * customer care and service workflows * product, catalog, and content intelligence * revenue growth and commercial planning * Design agentic and AI-powered business workflows Help customers move beyond dashboards and isolated models toward named agents, copilots, and decision-support experiences embedded in real workflows across digital and physical channels. * Architect the “last mile” experience Design how business users actually experience Snowflake, including: * conversational and natural-language interfaces * embedded AI experiences in partner or customer-facing apps * governed analytics and semantic layers * multimodal workflows that combine structured and unstructured data * operational experiences for business, analyst, and technical personas * Learn and leverage Snowflake’s broader platform capabilities Continuously translate Snowflake Horizon, Cortex, Snowflake Intelligence, semantic layers, apps, clean rooms, marketplace, and interoperability capabilities into retail and CPG architectures. In this industry, those capabilities are core because product, inventory, pricing, loyalty, retail media, customer, and partner data must be discoverable, governed, and usable across internal teams, external ecosystems, and AI-driven workflows. * Build compelling prototypes and demonstrations Create hands-on reference implementations that bring the story to life using Snowflake capabilities such as Cortex, Snowflake Intelligence, Cortex Search, Cortex Analyst, semantic models/views, Streamlit, and related ecosystem integrations. * Create reusable, field-ready assets Package your work into repeatable assets the field can use: * reference architectures and blueprints * workshop kits and persona journeys * demo flows and value stories * industry playbooks and partner patterns * solution points of view and technical narratives * Shape Snowflake’s Retail & Consumer Goods point of view Work with Industry GTM, product marketing, product management, sales, and solution engineering to sharpen Snowflake’s perspective on modern retail and consumer goods architecture, especially as AI becomes embedded into core business workflows. * Be the voice of the customer Surface industry trends, design gaps, and product requirements to help influence Snowflake’s roadmap and improve how our platform supports retail and CPG workloads. * Build ecosystem and partner leverage Collaborate with GSIs, regional SIs, ISVs, data providers, and marketplace participants to define joint solution offerings and accelerate customer value. * Enable others and scale your impact Share your expertise through enablement, customer workshops, blogs, webinars, conferences, and internal best practices so the organization can scale beyond one-off engagements. WHO YOU ARE * Retail and Consumer Goods fluent You have deep understanding of the retail and/or consumer goods landscape and can speak credibly across multiple domains, not just commerce. You understand the operating model, data landscape, and value drivers behind functions such as merchandising, supply chain, store operations, loyalty, retail media, customer care, and finance. * Architect at heart, storyteller by nature You can simplify complex ideas into clear business and technical narratives, create future-state architectures, and guide both executives and practitioners toward a practical path forward. * Hands-on with data and AI You have strong architecture experience across modern data platforms, cloud, analytics, AI/ML, and application patterns. You are comfortable working with SQL and Python and can guide or build prototypes when needed. * Fluent in modern AI patterns You understand how to apply LLMs, RAG, semantic models, search, agentic orchestration, multimodal data, and governed AI patterns to real business problems in Retail & Consumer Goods. You also understand the emerging interoperability and protocol landscape - including MCP for tool connectivity, A2A for agent-to-agent coordination, and commerce/payment protocols such as Google’s Universal Commerce Protocol (UCP), Agentic Commerce Protocol (ACP), and AP2 - and can explain Snowflake’s role as the governed data, context, and decision layer behind those flows. * Customer-facing and outcomes-oriented You are comfortable engaging senior executives and technical teams, facilitating workshops, whiteboarding future-state architectures, and tying technology decisions back to business outcomes. * Collaborative by default You have a track record of partnering effectively across sales, solution engineering, product, partners, and marketing, and you are energized by building assets and motions that others can reuse. PREFERRED BACKGROUND * 10+ years of experience building, consulting on, or implementing technology for Retail & Consumer Goods organizations or business units * Strong understanding of Retail & Consumer Goods data domains, systems, and processes * Experience designing enterprise data, analytics, AI, and application architectures * Familiarity with structured and unstructured data patterns, semantic layers, and text-to-SQL or search-driven experiences * Experience building or guiding data and AI applications such as Streamlit apps, internal tools, copilots, agent experiences, or workflow applications * Understanding of ecosystem tools and partners commonly found in retail and consumer goods environments * Experience with public cloud technologies such as AWS, Azure, or GCP * Strong presentation and communication skills across technical and executive audiences * Ability to quickly establish credibility with senior leadership * Bachelor’s degree required; advanced degree in computer science, engineering, mathematics, business, or related field preferred * Ability and willingness to travel to customer sites, industry events, and related meetings as needed WHAT GOOD LOOKS LIKE IN THIS ROLE * You help customers connect retail business priorities to concrete Snowflake architectures and use cases * You lead strategic engagements where industry expertise changes the outcome * You create assets, workshops, and demos that the field can reuse at scale * You elevate the conversation from data platform to industry transformation * You turn emerging Snowflake capabilities into repeatable, customer-relevant value * You influence both the field and product direction through strong customer-backed points of view OUR COMMITMENT 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. Protecting customer information and maintaining trust is central to this role. 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 June 20, 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