Applied AI Engineer

4w1 month ago

Snowflake

Warsaw, PL · Full-time · PLN 200,000 – PLN 280,000

About this role

At Snowflake, we are powering the era of the agentic enterprise, and as an Applied AI Engineer on our Cortex AI team, you will be a hands-on builder and critical technical partner to our most strategic customers. This role places you at the intersection of product, engineering, and customer success, deploying production-grade AI systems using Snowflake AI Platform, Cortex, and our native LLM capabilities.

You will architect, build, and deploy enterprise-grade AI solutions, including sophisticated AI agents, owning the end-to-end lifecycle from prototype to production. Your day-to-day involves rapidly designing, iterating, and shipping high-quality code and ML pipelines, translating ambiguous business objectives into robust, scalable solutions using Python and SQL.

You will partner directly with customer data science and engineering teams as a trusted technical advisor, sharing real-world feedback with Snowflake's Product and Engineering teams to directly influence the future of our AI platform. The team thrives on low-ego individuals who move with an experimental mindset, rapidly testing emerging capabilities to discover simpler, more powerful ways to deliver results.

This role offers the opportunity to help redefine the future of how work gets done at a massive scale, solving real-world business problems with cutting-edge AI. You will be at the forefront of the enterprise AI revolution, working with the world's most innovative companies to unlock the power of AI.

Requirements

3+ years of professional software engineering experience.
Experience building, evaluating, and tuning applications and pipelines that involve machine learning models or data-intensive systems.
Familiarity with core data science libraries and tools (e.g., pandas, numpy, Snowpark).
Proven hands-on experience with data modeling, ETL/ELT development, and performance tuning.
Advanced proficiency in Python, with experience scripting and automating data workflows.
A passion for tackling complex and ambiguous technical challenges, leveraging cutting-edge research and AI to deliver impactful solutions.
Excellent problem-solving and communication skills, with an ability to articulate complex technical concepts to diverse stakeholders.

Responsibilities

Architect, build, and deploy enterprise-grade AI solutions, including sophisticated AI agents, owning the end-to-end lifecycle from prototype to production.
Rapidly design, iterate, and ship high-quality code and ML pipelines, translating ambiguous business objectives into robust, scalable solutions using Python and SQL.
Own the full lifecycle of AI solution implementation, from developing prototypes to deploying, monitoring, and optimizing them in secure, large-scale production environments.
Partner directly with customer data science and engineering teams as a technical expert and trusted advisor on leveraging AI for their business challenges.
Architect and implement rigorous data validation, maintain strict SLA observability, and manage complex system interdependencies to guarantee reliable AI performance.
Work cross-functionally with Snowflake’s Product and Engineering teams to share real-world customer feedback, directly influencing the future of Snowflake's AI platform.
Drive customer impact by solving complex business challenges with production-grade AI systems at massive scale.

Benefits

Opportunity to work at the forefront of the enterprise AI revolution with cutting-edge technology.
Direct influence on the future of Snowflake's AI platform through cross-functional collaboration.
Work with the world’s most innovative companies to solve real-world business problems at massive scale.
Dynamic and fast-moving environment with a low-ego, experimental-minded team.