# Senior AI/ML Architect, Applied Field Engineering Source: https://realanalystjobs.com/job/senior-ai-ml-architect-applied-field-engineering-snowflake-98d84a8a Senior AI/ML Architect, Applied Field Engineering at Snowflake, based in USA - Remote. Experience level: 5+ Years. Pay stated in the posting: $165,000 to $216,562. Posted on 23 October 2026, read from Snowflake's own careers page (Ashby), which RealAnalystJobs re-checks daily and removes the role when it closes. Snowflake has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role). Updated 15 November 2026. ## Key facts - Company: [Snowflake](https://realanalystjobs.com/companies/snowflake) - Location: USA - Remote - Pay stated in the posting: $165,000 to $216,562 - Posted: Oct 23, 2026 - Employment type: Full time - Experience level: 5+ Years - Source: Snowflake's careers page (Ashby), re-checked daily Skills: [Python](https://realanalystjobs.com/skills/python), [dbt](https://realanalystjobs.com/skills/dbt), Snowflake, AWS, Azure, Spark, Airflow ## Visa sponsorship The posting does not say. Snowflake had H-1B petitions approved for 396 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/snowflake#h1b-record) ## About this role 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 Description from Snowflake's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/senior-ai-ml-architect-applied-field-engineering-snowflake-98d84a8a) and use Apply now there to reach the employer's application. The listing is re-checked against Snowflake's careers page daily and removed when it closes. ## Snowflake 47 open analyst roles on Real Analyst Jobs. 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