Senior AI/ML Architect, Applied Field Engineering

Snowflake

. Serve as the technical expert positioning Snowflake’s AI and ML features and value to technical stakeholders at customers across the Americas .

Posted 10/17/2026full-timeRemote • New Jersey • United StatesSenior💰 $165,000 - $216,562 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying machine learning and generative AI solutions, with a strong focus on customer engagement and technical presentations. Proficient in leveraging cloud platforms and data engineering tools to operationalize AI use cases and influence product roadmaps.

Highest-signal resume keywords

Machine Learning Solutions DevelopmentGenerative AI TechniquesPython ProgrammingSnowflake ExperienceCloud Infrastructure Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningGenerative AIPythonLangChainPandasSklearnPyTorchDbtAirflowSpark

Soft Skills

Presentation SkillsCollaborationInfluencing

Tools & Technologies

AWSMicrosoft AzureGCPSnowflakeNetezzaExadataTeradataGreenplum

Certifications & Qualifications

Bachelor's DegreeMaster's Degree in Computer Science

Industry Keywords

AIMLCloud ComputingData EngineeringEnterprise AI Use Cases

Tech Stack

Tools & technologies

AirflowAWSAzureCloudGoogle Cloud PlatformGreenplumPandasPythonPyTorchScikit-LearnSpark

About the role

Key responsibilities & impact

Serve as the technical expert positioning Snowflake’s AI and ML features and value to technical stakeholders at customers across the Americas
Partner with Snowflake 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 using customer feedback
Publish scalable content such as blog posts, conference presentations, technical collateral, 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 such as RAG, few-shot learning, prompt engineering, and fine-tuning
Experience operationalizing enterprise AI use cases such as interactive chat applications or text processing
Deep knowledge of Python and common ML packages such as LangChain, pandas, sklearn, and PyTorch
Knowledge of data engineering tools and technologies such as 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 and experience with large-scale database technology such as Snowflake, Netezza, Exadata, Teradata, or Greenplum

Benefits

Comp & perks

Medical, dental, vision, life, and disability insurance
401(k) retirement plan
Flexible spending and health savings account
At least 12 paid holidays
Paid time off
Parental leave
Employee assistance program
Equity plan
Commission plan
Competitive benefits package