Назад
3 часа назад

AI Specialist (Snowflake)

189 000 - 248 062$
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

AI Specialist (Snowflake AI Data Cloud): Designing and architecting AI solutions for enterprise customers with an accent on generative AI, machine learning deployment, and technical strategy. Focus on driving POCs to technical wins, influencing product roadmaps, and developing scalable AI assets.

Location: US-NY-New York

Salary: $189,000 – $248,062

Company

A cloud-based data platform powering the era of the agentic enterprise.

What you will do

  • Act as the technical expert positioning Snowflake's AI and ML features to stakeholders across the Americas.
  • Partner with account teams to scope and drive POCs to success and demonstrate business value.
  • Collaborate with product and engineering teams to influence AI/ML roadmaps based on customer feedback.
  • Publish technical content, including blog posts, conference presentations, and demos.
  • Develop and maintain Sales Engineering AI/ML assets and customer stories.

Requirements

  • 10+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
  • Proficiency in generative AI techniques such as RAG, few-shot learning, prompt engineering, or fine-tuning.
  • Deep knowledge of Python and ML packages (LangChain, pandas, sklearn, PyTorch) and data engineering tools (dbt, Airflow, Spark).
  • Strong presentation skills for both technical and executive audiences.
  • Bachelor's Degree in computer science, engineering, mathematics, or related fields.

Nice to have

  • Working knowledge of tools in the LLM ecosystem such as LlamaIndex or other OSS packages.
  • Experience with large-scale IaaS platforms (AWS, Microsoft Azure, GCP).
  • 1+ years of practical Snowflake experience.
  • Knowledge of large-scale database technology (Netezza, Exadata, Teradata, Greenplum).

Culture & Benefits

  • Dynamic and fast-moving environment with an experimental mindset.
  • Opportunity to help redefine the future of how work gets done in an AI-native organization.
  • Low-ego culture that values curiosity and rapid testing of emerging capabilities.

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