Senior AI/ML Architect, Applied Field Engineering

Snowflake

. Provide hands-on AI expertise and support to technical decision makers and data scientists .

Posted 10/16/2026full-timeRemote • New Jersey • United StatesSenior💰 $165,000 - $216,562 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI and ML solutions, particularly within the Snowflake AI Data Cloud. Proficient in collaborating with technical stakeholders and delivering impactful presentations to drive business value.

Highest-signal resume keywords

Machine Learning Solution DevelopmentGenerative AI TechniquesPython ProgrammingSnowflake ExperienceData Engineering Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningGenerative AIPythonLangChainPandasSklearnPyTorchDbtAirflowSpark

Soft Skills

Presentation SkillsCollaboration

Tools & Technologies

SnowflakeAWSMicrosoft AzureGCPLLM Ecosystem Tools

Certifications & Qualifications

Bachelor’s DegreeMaster’s Degree

Industry Keywords

AI SolutionsML FeaturesTechnical Decision MakersCustomer Technical StakeholdersEnterprise AI Use Cases

Tech Stack

Tools & technologies

AirflowAWSAzureCloudGoogle Cloud PlatformGreenplumPandasPythonPyTorchScikit-LearnSpark

About the role

Key responsibilities & impact

Provide hands-on AI expertise and support to technical decision makers and data scientists
Design and architect AI solutions built on the Snowflake AI Data Cloud
Serve as the technical expert positioning Snowflake’s AI and ML features and value to customer technical stakeholders across the Americas
Partner with account teams and customer champions to scope and drive proofs of concept to successful technical wins
Deliver executive readouts and business value cases
Collaborate with product and engineering teams to influence AI and ML roadmaps based on customer feedback
Publish scalable content including blog posts, conference presentations, technical notebooks, and demos
Influence, tailor, and maintain Sales Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories

Requirements

What you’ll need

5+ years of experience building and deploying machine learning and generative AI solutions in the cloud
Familiarity with generative AI techniques including RAG, few shot learning, prompt engineering, and fine-tuning
Knowledge of enterprise AI use cases such as interactive chat applications and text processing
Deep knowledge of Python and common ML packages such as LangChain, pandas, sklearn, and PyTorch
Knowledge of data engineering tools and technologies including dbt, Airflow, and Spark
Strong presentation skills for technical and executive audiences
Bachelor’s Degree required
Master’s Degree in computer science, engineering, mathematics, or related fields, or equivalent experience preferred
Working knowledge of LLM ecosystem tools such as LangChain, LlamaIndex, or other OSS packages
Experience with large-scale infrastructure-as-a-service platforms such as AWS, Microsoft Azure, or GCP
1+ years of practical Snowflake experience
Knowledge of large-scale database technology such as Snowflake, Netezza, Exadata, Teradata, or Greenplum