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3 дня назад

Solutions Architect, AI Systems

130 000 - 150 000$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
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
Solutions Architect, AI Systems (AI/Data Platforms): Building and deploying AI-driven products, tools, models, and pipelines on proprietary Snowflake and BigQuery data infrastructure with an accent on end-to-end ownership, applied AI, and production delivery. Focus on designing systems from ambiguous business problems, shipping working Python and SQL solutions, and iterating on real-world usage after launch.

Location: Canada

Salary: $130,000–$150,000 annually

Company

hirify.global builds social-first ecosystems that combine strategy, talent, media, technology, and culturally relevant creativity for digital brands.

What you will do

  • Partner with executive, strategy, and client teams to turn ambiguous business problems into concrete AI and data solution plans.
  • Design systems and build and ship their first working versions without handing architecture and delivery to separate teams.
  • Develop and deploy tools, models, internal products, and pipelines on Snowflake and BigQuery infrastructure.
  • Write and maintain Python, SQL, and API code to operationalize models and data pipelines.
  • Deploy LLMs, embeddings, and predictive modeling as functional product features.
  • Monitor usage after launch, improve solutions, maintain data quality, and build enablement tools for non-technical teams.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent experience.
  • 5+ years of experience in Solutions Architecture, Applied AI/ML Engineering, or Data Engineering, with shipped working software.
  • Proficiency in Python or a comparable programming language and SQL, including deploying code that runs in production.
  • Experience building and deploying models, pipelines, or applications on cloud data platforms such as Snowflake or BigQuery.
  • Practical experience shipping LLMs, embeddings, and other applied AI methods into working tools.
  • Ability to own a problem from an ambiguous request through to a deployed solution and operate effectively in fast-moving environments.

Nice to have

  • Fluency with Sigma, Tableau, Looker, or Power BI.
  • Experience in marketing, the creator economy, or social intelligence.
  • A shipped repository, deployed application, or demo to share with the application.

Culture & Benefits

  • Open, collaborative, creative, and fast-paced working environment.
  • Comprehensive benefits and total rewards package.
  • Performance-led, market-aligned compensation with regular compensation reviews.
  • Inclusive workplace with accommodations available throughout the recruitment process.
  • Hiring decisions are made by human hiring teams; AI note-taking tools may be used during interviews.

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