Senior AI/ML Architect, Applied Field Engineering

Snowflake
New York
Full timeUSD 165,000 - 216,562 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Presentation","Communication","Collaboration","Problem-solving"]

Senior AI/ML Architect leading AI/ML initiatives for Snowflake’s customers in the Americas, designing and scoping AI solutions built on the Snowflake AI Data Cloud. You’ll work with technical decision makers, data scientists, and cross-functional teams to drive POCs, influence product roadmaps, publish scalable content, and tailor selling assets for technical and executive audiences.

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Snowflake
Snowflake
2 months ago

Senior AI/ML Architect, Applied Field Engineering

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Last checked: 4 hours agoStatus: Live

Job Summary

Senior AI/ML Architect leading AI/ML initiatives for Snowflake’s customers in the Americas, designing and scoping AI solutions built on the Snowflake AI Data Cloud. You’ll work with technical decision makers, data scientists, and cross-functional teams to drive POCs, influence product roadmaps, publish scalable content, and tailor selling assets for technical and executive audiences.
Location: New York
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key 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.

Pay and Benefits

Salary: USD 165,000 - 216,562 annually

Key Requirements

  • •5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
  • •Familiarity with generative AI techniques such as RAG, few-shot learning, prompt engineering, or fine-tuning for enterprise AI use cases.
  • •Deep knowledge of Python and ML packages (LangChain, pandas, sklearn, PyTorch) and data engineering tools (dbt, Airflow, Spark).
  • •Strong presentation skills for technical and executive audiences (whiteboarding, readouts, demos).
  • •Bachelor’s Degree required; Masters Degree in CS/engineering/math or related fields, or equivalent experience preferred.
Experience:AICloudSaaSData
Education:Bachelor's
Skills:PresentationCommunicationCollaborationProblem-solving
Languages:English
Tech Stack:PythonLangChainPandasSklearnPyTorchDbtAirflowSparkLLMLlamaIndex

Company Brief

Snowflake
Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Bozeman, United States
Founded: 2012
WebsiteLinkedIn