✦ Luna Orbit — AI & Machine Learning

Senior AI/ML Architect, Applied Field Engineering

at Snowflake

📍 US-WA-Seattle-Remote Unknown Posted March 07, 2026
Type Not Specified
Experience senior
Exp. Years 5+ years
Education Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred
Category AI & Machine Learning

This role involves designing and implementing AI and ML solutions, focusing on generative AI techniques, cloud deployment, and customer engagement within Snowflake's AI Data Cloud ecosystem.

  • Designing AI solutions
  • Partnering with product teams
  • Supporting customer POCs
  • Publishing technical content
  • Influencing product roadmaps

The technical environment includes Python, ML frameworks like PyTorch, data engineering tools such as dbt, Airflow, Spark, and cloud platforms including Snowflake, AWS, Azure, and GCP.

The ideal candidate is a senior AI/ML architect with over 5 years of experience building and deploying generative AI solutions in the cloud. They possess deep expertise in Python, ML frameworks, and data engineering tools, with familiarity in large-scale infrastructure and Snowflake.

building and deploying machine learning solutionsgenerative AI techniquesPythonML packagesdata engineering tools
LangChainLlamaIndexlarge-scale infrastructureSnowflake experience
SnowflakeAWSMicrosoft AzureGCPLangChainLlamaIndexdbtAirflowSparkPyTorch
machine learninggenerative AIRAGprompt engineeringfine-tuningPythonLangChainpandassklearnPyTorchdata engineeringdbtAirflowSparkSnowflakeAWSMicrosoft AzureGCP
PythonLangChainpandassklearnPyTorchgenerative AIRAGprompt engineeringfine-tuningdata engineeringdbtAirflowSpark
communicationpresentationcollaborationproblem-solvingtechnical expertise
Industry SaaS
Job Function AI/ML solution architecture and customer engagement
Senior AI/ML Architectmachine learninggenerative AIRAGprompt engineeringfine-tuningPythonLangChainpandassklearnPyTorchdata engineeringdbtAirflowSparkSnowflakeAWSMicrosoft AzureGCP

Lack of experience with generative AI techniques, No cloud deployment experience, Less than 5 years of relevant experience, No familiarity with Python or ML packages

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