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Software Engineer, Applied AI

Snowflake Inc.· Engineering
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PL-Warsaw-Lixa CFull-timePosted 2mo ago

About the role

Hands-on engineer in Snowflake's Cortex AI team focused on building production-grade AI systems and enterprise AI solutions for strategic customers, at the intersection of product, engineering, and customer success.

Responsibilities

  • Drive Customer Impact: Architect, build, and deploy enterprise-grade AI solutions, including sophisticated AI agents. Build and iterate on AI pipelines and agents within a team-led engagement from prototype to production, contribute to evaluation frameworks and observability infrastructure for complex business challenges.
  • Deliver with Velocity: Rapidly design, iterate, and ship high-quality code and ML pipelines. Translate ambiguous business objectives into robust, scalable, and performant solutions using Python and SQL.
  • Productionize AI at Scale: Own the full lifecycle of AI solution implementation, from developing prototypes to deploying, monitoring, and optimizing them in secure, large-scale production environments.
  • Be a Strategic Technical Advisor: Partner directly with customer data science and engineering teams, serving as a technical expert and trusted advisor on how to best leverage AI for their business challenges.
  • Ensure Operational Excellence: Architect and implement rigorous data validation, maintain strict SLA observability, and manage complex system interdependencies to guarantee reliable AI performance.
  • Collaborate to Innovate: Work cross-functionally with Product and Engineering teams to share real-world feedback from customers, influencing the future of Snowflake's AI platform.
  • Have a real opportunity for growth: Junior/Mid Engineers progress from building components to owning workstreams and customer engagements; Senior Engineer promotion involves independent scoped customer sessions and end-to-end workstream ownership.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
  • 3+ years of professional software engineering experience.
  • Hands-on experience building and shipping LLM-based or ML applications.
  • Data modeling, ETL/ELT development, and performance tuning experience.
  • Advanced proficiency in Python, Java, C++ or other backend languages with scripting/automation for data workflows.
  • Excellent problem-solving and communication skills.
  • Ability to thrive in a fast-paced, dynamic environment and adapt to Generative AI trends.

Skills

Required:PythonSQLData modelingLLM/ML developmentCommunication

Benefits

  • (Benefits information not explicitly listed in description)
Last updated Aug 13, 2026. Interested? Apply on the company site.

About Snowflake Inc.

The Data Platform Built for Data Teams.

Snowflake powers AI, data engineering, applications, and analytics on a trusted, scalable AI Data Cloud—eliminating silos and accelerating innovation.

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