Software Engineer, Applied AI

Snowflake
Warsaw
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 3+ yearsEducation: bachelorsSkills: ["Problem-solving","Communication","Adaptability","Technical advisory"]

Build and deploy production-grade enterprise AI systems for Snowflake’s strategic customers as part of the Cortex AI team. You’ll architect and ship AI solutions and agents from prototype through monitoring and optimization, translating ambiguous objectives into scalable, performant code and ML pipelines. Partner with customer data science and engineering teams, ensure data validation and SLA observability, and help influence the future of Snowflake’s AI platform.

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Snowflake
Snowflake
7 months ago

Software Engineer, Applied AI

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Build and deploy production-grade enterprise AI systems for Snowflake’s strategic customers as part of the Cortex AI team. You’ll architect and ship AI solutions and agents from prototype through monitoring and optimization, translating ambiguous objectives into scalable, performant code and ML pipelines. Partner with customer data science and engineering teams, ensure data validation and SLA observability, and help influence the future of Snowflake’s AI platform.
Location: Warsaw
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Architect, build, and deploy enterprise-grade AI solutions, including AI agents, owning the lifecycle from prototype to production.
  • •Design, iterate, and ship high-quality code and ML pipelines, translating ambiguous business objectives into scalable solutions.
  • •Deploy, monitor, and optimize AI solutions in secure, large-scale production environments.
  • •Serve as a strategic technical advisor to customer data science and engineering teams on leveraging AI for business challenges.
  • •Architect and implement data validation, SLA observability, and manage system interdependencies to ensure reliable AI performance.

Key Requirements

  • •Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
  • •3+ years of professional software engineering experience.
  • •Experience building, evaluating, and tuning ML models or data-intensive pipelines, including familiarity with pandas, numpy, and Snowpark.
  • •Proven hands-on experience with data modeling, ETL/ELT development, and performance tuning.
  • •Advanced proficiency in Python, including scripting and automating data workflows.
Experience:3+ yearsMachine learningAIData-intensive systemsMLOpsEnterprise AI
Education:Bachelor's in Computer Science, Engineering
Skills:Problem-solvingCommunicationAdaptabilityTechnical advisory
Tech Stack:PythonSQLMachine learningPandasNumpySnowparkETLELTLLMsRAGAWSAzureGCPSnowflake AI PlatformCortex

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