AI Engineer - Database Engineering

Навыки

• Airflow
• Коммуникация
• Анализ данных
• dbt
• LLM
• Мониторинг и observability
• Python

О компании и продукте

• You will work on critical business initiatives in the core database engine, bring an AI-forward approach to software development and accelerate roadmap cycles for the benefit of our customers.
• Your work will directly impact how developers and businesses build with data. You'll own the full AI engineering lifecycle: design, prompt/tool engineering, evals, deployment, measurement, and optimization. You'll work with a small, high-powered engineering team. What you will do in this role:
• Own features end-to-end for Snowflake Database Engineering products. Build agentic workflows, coding harnesses, evaluation pipelines.
• Build enterprise-grade context engineering: function calling, tool schemas, guardrails, agent teams, and verification/repair.

Требования

• Bachelor’s degree in Computer Science, Engineering, Statistics or a related field. Master’s or higher degree preferred but not a requirement
• 5+ years of experience shipping AI features in production
• Proficiency in programming languages such as Python, Typescript, Go
• Strong communication skills and ability to collaborate effectively in a team environment
• (Optional) Experience working with data engineering pipelines (dbt, airflow), data modeling, data analysis, retrieval systems, and semantic layers is a plus

Будет плюсом

• Deep experience with agentic coding tools (e.g. IDE agents, CLI agents) and intuition for model strengths, failure modes, and prompting limits
• Background in data engineering (dbt, Airflow), data modeling, analytics, retrieval / RAG, or semantic layers — highly relevant for data-centric coding agents
• Prior work on eval harnesses, LLM observability, or safety / guardrails in production
• You may be a particularly good fit if you
• Have built and owned complex systems — pipelines, orchestration, or software with substantial state, branching logic, and operational requirements
• Thrive in high-intensity environments with short feedback loops and high standards for rigor
• Take problems to completion independently: you don’t stop at a prototype
• you care about production reliability and clear metrics
• Are a power user of modern coding agents and care about turning that intuition into systematic measurement and improvement
• Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data
• Snowflake employees must abide by the company’s data security plan as an essential part of their duties
• It is every employee's duty to keep customer information secure and confidential
• Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth
• We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake
• How do you want to make your impact?
• For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com

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