3 дня назад
Solutions Architect, AI Systems
130 000 - 150 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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