AI Solutions Architect: Build & Ship Real-World AI Systems

Viral Nation

Toronto

On-site

CAD 130,000 - 150,000

Full time

12 days ago

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Job summary

Viral Nation in Toronto seeks a Solutions Architect, AI Systems to own problems from scope to first working version. You will design, build, and ship AI-enabled data tools on our proprietary infrastructure, not just dashboards.

You’ll deploy models and pipelines with Python/SQL on Snowflake/BigQuery, collaborating with Data Eng and AI teams to ensure data quality and scalable delivery.

Qualifications

  • Bachelor's degree in CS/DS/Engineering or equivalent experience.
  • 5+ years in Solutions Architecture, Applied AI/ML, or Data Engineering with shipped software.
  • Proficient in Python and SQL; able to deploy code to production.
  • Experience deploying models/pipelines on Snowflake or BigQuery.
  • Knowledge of LLMs, embeddings, and applied AI methods in real products.
  • BI tools like Sigma/Tableau/Looker/Power BI are a plus.

Responsibilities

  • Partner with exec, strategy, and client teams to scope AI/data solutions.
  • Design the system and ship the first working version yourself.
  • Build and deploy tools, models, and internal products on our data infra.
  • Write and maintain production-grade code in Python/SQL/APIs.
  • Deploy applied AI methods as real features, not proofs.
  • Collaborate with Data Eng and AI teams to keep data quality high.
  • Develop internal tools for non-technical teams; monitor usage post-launch.

Skills

Python
SQL
LLMs
Embeddings
AI methods
Production code
Cloud data platforms

Education

Bachelor's degree

Tools

Snowflake
BigQuery
Sigma
Tableau
Looker
Power BI

Job description

Viral Nation in Toronto seeks a Solutions Architect, AI Systems to own problems from scope to first working version. You will design, build, and ship AI-enabled data tools on our proprietary infrastructure, not just dashboards.

You’ll deploy models and pipelines with Python/SQL on Snowflake/BigQuery, collaborating with Data Eng and AI teams to ensure data quality and scalable delivery.

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