Назад
5 дней назад

AI/ML Solutions Architect (Snowflake)

196 000 - 257 200$
Тип работы
fulltime
Грейд
senior
Английский
b2
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
AI/ML Solutions Architect (Snowflake): Designing and implementing AI/ML pipelines within the Snowflake Data Cloud with an accent on production-ready workloads and technical leadership. Focus on architecting Snowflake-centric solutions, building POCs using Cortex AI, and advising enterprise clients on best practices for generative AI and MLOps.

Company

Snowflake is a leading data cloud company powering the era of the agentic enterprise through innovative AI and data solutions.

What you will do

  • Design and architect Snowflake-centric AI/ML solutions for enterprise customers.
  • Guide clients through the full lifecycle of AI/ML pipelines from ideation to production.
  • Build POCs using SQL, Python, and Cortex AI to demonstrate implementation techniques.
  • Provide technical leadership and best practices for scaling production-ready workloads.
  • Collaborate with internal Product, Engineering, and Marketing teams to improve product capabilities.

Requirements

  • Must be based in the United States.
  • Minimum 5 years of experience in pre-sales or post-sales technical roles.
  • Strong understanding of generative AI lifecycles, MLOps, and ML lifecycles.
  • Hands-on scripting experience with SQL and Python, Java, or Scala.
  • Experience with at least one public cloud platform (AWS, Azure, or GCP).
  • Experience with AI/ML platforms such as Sagemaker, Databricks, or Vertex AI.

Nice to have

  • Experience with Databricks or Apache Spark.
  • Proven success in enterprise software environments.
  • Vertical expertise in industries such as FSI, Retail, or Manufacturing.

Culture & Benefits

  • Opportunity to work at the forefront of AI and data cloud innovation.
  • Collaborative environment focused on experimentation and rapid testing.
  • Commitment to high-trust collaboration and solving complex technical problems.

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