Snowflake

2 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: 15 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

Website LinkedIn

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Snowflake

2 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: 15 hours agoStatus: Live

Job Summary

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

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

Website LinkedIn