Назад
14 часов назад

Lead AI/ML Architect (Snowflake)

160 000 - 210 000$
Тип работы
fulltime
Грейд
lead
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead AI/ML Architect (Snowflake): Designing and deploying robust, scalable AI/ML solutions on the Snowflake platform with an accent on system dependency analysis and production robustness. Focus on architecting secure data pipelines, performing root cause analysis, and mentoring architects on MLOps best practices.

Location: Must be based in the United States (New York, NY)

Salary: $160,000 – $210,000 per year

Company

Snowflake is a cloud-based data platform company powering the era of the agentic enterprise through AI-native innovation.

What you will do

  • Design robust, scalable AI/ML solutions using the Snowflake native stack and partner ecosystem.
  • Perform deep-dive Root Cause Analysis (RCA) for complex system dependencies in AI/ML deployments.
  • Collaborate with Sales and Product teams to align technical roadmaps with customer ROI.
  • Mentor Level 3 architects on MLOps best practices and architectural design.
  • Architect data security and access controls for sensitive AI/ML training data.

Requirements

  • Minimum 8 years of related experience with a Bachelor's degree.
  • Expertise in resolving complex enterprise AI/ML deployment issues.
  • Strong executive communication skills for presenting technical concepts to business audiences.
  • Deep understanding of the complete Data Science lifecycle including feature engineering, model development, and deployment.
  • Must have authorization to work in the United States.

Nice to have

  • Experience with Generative AI, LLMs, and Vector Databases.
  • Experience with Databricks, Apache Spark, or ETL tools.
  • Vertical expertise in FSI, Retail, or Manufacturing.

Culture & Benefits

  • Opportunity to work in a fast-growing, innovative environment.
  • Focus on experimental mindset and AI-native problem solving.
  • Collaborative culture emphasizing low-ego and high-impact contributions.

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