AI Systems Solutions Architect - Build & Ship Production-Grade AI

Viral-Natio; Chicago (IL); On-site; USD 150,000 - 210,000; Full time

Job summary

Viral Nation is seeking a Solutions Architect, AI Systems to own end-to-end AI and data solutions from scoping with business teams to delivering the first working version yourself. You will architect the system, build it, and ship it, leveraging Snowflake and BigQuery to deploy models and pipelines on our proprietary data infrastructure.

You’ll collaborate with Data Engineering and AI teams to ensure data quality, build internal enablement tools for non-technical users, and monitor usage

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or related field.
• 5+ years in Solutions Architecture, Applied AI/ML Engineering, or Data Engineering.
• Proficient in Python and SQL; production-ready code.
• Experience building and deploying models, pipelines on Snowflake or BigQuery.
• Working knowledge of LLMs, embeddings, and applied AI methods.
• BI tools (Sigma, Tableau, Looker, Power BI) are a plus.

Responsibilities

• Partner with executive, strategy, and client teams to scope AI and data solutions from an ambiguous business problem to a concrete technical plan.
• Design the system, then build and ship the first working version yourself.
• Build and deploy functional tools, models, and internal products on our proprietary data infrastructure (Snowflake, BigQuery).
• Write and maintain working code (Python, SQL, APIs) to operationalize models and pipelines.
• Deploy applied AI methods - LLMs, embeddings, predictive modeling - as real working features.

Skills

Python

SQL

Applied AI/ML

Data pipelines

Product mindset

Education

Bachelor's degree (CS / Data Science / Engineering)

Tools

Snowflake

BigQuery

APIs

Job description

Viral Nation is seeking a Solutions Architect, AI Systems to own end-to-end AI and data solutions from scoping with business teams to delivering the first working version yourself. You will architect the system, build it, and ship it, leveraging Snowflake and BigQuery to deploy models and pipelines on our proprietary data infrastructure.

You’ll collaborate with Data Engineering and AI teams to ensure data quality, build internal enablement tools for non-technical users, and monitor usage