Applied AI Engineer

Snowflake
Warsaw
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: bachelorsSkills: ["Python","SQL","Pandas","Numpy","Snowpark","Data modeling","ETL/ELT","Workflow automation","ML pipelines"]

Architect, build, and deploy enterprise-grade AI solutions at scale, partnering with customer data science teams to deliver production-grade AI systems using Snowflake’s Cortex platform and native LLM capabilities. You will translate ambiguous business objectives into robust Python/SQL solutions, ensure observability and SLA, and collaborate with product/engineering to shape the AI platform for enterprise customers.

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FursaFursa
Snowflake
Snowflake
3 months ago

Applied AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Architect, build, and deploy enterprise-grade AI solutions at scale, partnering with customer data science teams to deliver production-grade AI systems using Snowflake’s Cortex platform and native LLM capabilities. You will translate ambiguous business objectives into robust Python/SQL solutions, ensure observability and SLA, and collaborate with product/engineering to shape the AI platform for enterprise customers.
Location: Warsaw
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Architect, build, and deploy enterprise-grade AI solutions, including sophisticated AI agents, from prototype to production.
  • •Design, iterate, and ship high-quality code and ML pipelines using Python and SQL, translating business objectives into scalable solutions.
  • •Own the full lifecycle of AI solution implementation, from prototyping to deployment, monitoring, and optimization in large-scale production environments.
  • •Partner directly with customer data science and engineering teams as a technical expert and trusted advisor on leveraging AI for business challenges.
  • •Architect and implement rigorous data validation, maintain SLA observability, and manage complex system interdependencies to ensure reliable AI performance.

Key Requirements

  • •Bachelor’s degree in Computer Science, Engineering, or related technical field, or equivalent practical experience.
  • •3+ years of professional software engineering experience.
  • •Experience building, evaluating and tuning applications and pipelines involving machine learning models or data-intensive systems (pandas, numpy, Snowpark).
  • •Advanced proficiency in Python, with experience scripting and automating data workflows.
  • •Excellent problem-solving and communication skills with ability to articulate complex technical concepts to diverse stakeholders.
Experience:3+ yearsEnterprise softwareAIMachine learningData pipelines
Education:Bachelor's
Skills:PythonSQLPandasNumpySnowparkData modelingETL/ELTWorkflow automationML pipelines
Languages:English
Tech Stack:PythonSQLPandasNumpySnowparkLLMsRAGAgentic workflowsMLOpsAWSAzureGCP

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