Snowflake · 2 days ago
Senior AI/ML Architect, Applied Field Engineering
Montgomery, AL
Full-time
Onsite
Senior Level
$165K/yr - $289K/yr
5+ years expSnowflake is about empowering enterprises to achieve their full potential through innovation and collaboration. They are seeking a Senior AI/ML Architect to provide hands-on expertise in designing and architecting AI solutions built on the Snowflake AI Data Cloud while collaborating with various teams to ensure successful execution and customer adoption.
AnalyticsArtificial Intelligence (AI)Cloud Data ServicesData ManagementEnterprise SoftwareSoftware
Responsibilities
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
Qualification
Required
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
Preferred
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.)
Company
Snowflake
Snowflake is a cloud data platform that provides a data warehouse as a service designed for the cloud.
5001-10000 employees
H1B Sponsorship
Snowflake has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (428)
2024 (281)
2023 (154)
2022 (182)
2021 (113)
2020 (98)
Funding
Current Stage
Public CompanyTotal Funding
$2.03BKey Investors
Sequoia CapitalICONIQ GrowthAltimeter Capital
2022-04-19Post Ipo Equity· $621.46M
2020-09-16IPO
2020-02-07Series G· $479M
Leadership Team
Sridhar Ramaswamy
Chief Executive Officer
Benoit Dageville
Snowflake Co-founder, President of Product
Recent News
2026-01-08
2026-01-07
2026-01-06
Company data provided by crunchbase