Назад
26 дней назад

Lead Migrations Forward Deployed Engineer (AI)

236 000 - 339 250$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
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

Lead Migrations Forward Deployed Engineer (AI/Data Cloud): Leading scoping, architecture, and implementation of data modernization projects for customers using the Snowflake AI Data Cloud with an accent on scalable data pipelines and software automation. Focus on designing robust software systems, optimizing data models, and integrating AI/ML capabilities into client ecosystems.

Location: Hybrid (Menlo Park, CA, USA). Travel up to 20% may be required.

Salary: $236,000 – $339,250

Company

Cloud data platform powering the era of the agentic enterprise through AI-native data solutions.

What you will do

  • Lead the scoping, architecture, and technical direction for customer data and application ecosystem modernization.
  • Design and deploy robust software systems, tooling, and automation to support customer solutions.
  • Contribute to Snowflake's core product by building prototypes and developing new features.
  • Provide expert technical guidance and mentorship to client teams on data management and AI/ML capabilities.
  • Build scalable data pipelines and optimize data models for maximum performance and cost-effectiveness.

Requirements

  • Must be based in or able to work from Menlo Park, CA (Hybrid).
  • Proficiency in programming languages such as Python, Go, Java, or C++.
  • Experience in developing AI/ML applications.
  • Strong understanding of data modeling, data warehousing, data lakes, and cloud platforms.
  • Prior experience leading complex, multi-faceted technical projects for customers.
  • Bachelor's degree in Computer Science, Information Systems, or a related field.

Nice to have

  • Prior experience delivering complex data-driven application migrations.

Culture & Benefits

  • Experimental mindset with a focus on rapidly testing emerging AI capabilities.
  • Low-ego, dynamic, and fast-moving work environment.
  • Opportunity to redefine the future of work through AI-native thinking.
  • Equity offers as part of the compensation package.

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