Snowflake · 2 hours ago
Senior ML Architect, Applied Field Engineering
United States
Full-time
Remote
Senior Level
$165K/yr - $217K/yr
5+ years expSnowflake is about empowering enterprises to achieve their full potential. They are seeking an experienced customer-facing AI ML Solutions Architect to provide strategic and technical advisory, working closely with technical decision makers and data scientists to design and architect AI ML solutions on the Snowflake AI Data Cloud.
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
Build compelling AI ML demos and proof of concept (POCs) for customer
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
MLOps experience on a major ML platform (e.g., Databricks, SageMaker): built shared pipelines/templates for teams and deployed/operated production models with monitoring and alerts; wrote unit/integration tests and used Git/CI
Hands-on scripting experience with Python, with experience using libraries such as Pandas, HuggingFace, XGBoost, PyTorch, TensorFlow, SciKit-Learn or similar
Have the following AI and ML Engineering skills: Data Cleansing, Work with large datasets, and perform data quality evaluation/checks, Feature engineering, Determine relevant features for training and evaluation, Optimization of model performance/accuracy, MLOps and lifecycle management
Strong skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations 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, and NeMo-Guard
Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. AWS, Microsoft Azure, GCP, etc.)
1+ years of practical Snowflake experience
Benefits
Medical, dental, vision, life, and disability insurance
401(k) retirement plan
Flexible spending & health savings account
At least 12 paid holidays
Paid time off
Parental leave
Employee assistance program
Other company benefits
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 (324)
2024 (285)
2023 (156)
2022 (183)
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
The Motley Fool
2025-12-29
Sherwood News
2025-12-29
Company data provided by crunchbase