✦ Luna Orbit — AI & Machine Learning

Applied AI Engineer

at Snowflake

📍 US-CA-Menlo Park Unknown Posted March 07, 2026
Type Not Specified
Experience mid
Exp. Years 2+ years
Education Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience
Category AI & Machine Learning

This role involves building and deploying enterprise-grade AI solutions, working closely with customers to solve real-world business challenges using Snowflake's AI platform.

  • Design and deploy AI solutions
  • Collaborate with customers and teams
  • Build ML pipelines
  • Optimize AI models
  • Monitor production AI systems

The technical environment includes Snowflake, Snowpark, Cortex, and large language models, with a focus on developing scalable AI applications and pipelines.

The ideal candidate is a mid-level AI engineer with at least 2 years of experience building and deploying enterprise AI solutions using Python, SQL, and Snowflake technologies. They should have a strong understanding of machine learning pipelines and data science libraries, with a passion for solving complex business problems at scale.

PythonSQLExperience buildingevaluating and tuning applications involving machine learning modelsFamiliarity with core data science libraries (e.g.pandasnumpy)
SnowflakeSnowparkML deploymentAI agent development
SnowflakeSnowparkCortexLarge Language Models
PythonSQLSnowparkCortexLarge Language ModelsML pipelinespandasnumpy
PythonSQLSnowparkCortexLarge Language ModelsLLMsML pipelinesData science librariespandasnumpy
problem-solvingcommunicationcollaborationadaptability
Industry SaaS
Job Function Developing and deploying enterprise AI solutions using Snowflake technologies
Applied AI EngineerAI solutionsML pipelinesPythonSQLSnowparkCortexLarge Language ModelsLLMsData science librariespandasnumpyAImachine learningenterprise AIAI deployment

Lack of experience with Python and SQL, No experience with enterprise AI deployment, No familiarity with Snowflake or Snowpark

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