Solutions Architect, AI Systems

Location: United States

Company

hirify.global builds social-first ecosystems and integrated strategy, talent, media, and technology solutions 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.
• Build and deploy tools, models, pipelines, and internal products on Snowflake and BigQuery infrastructure.
• Write and maintain Python, SQL, and API code to operationalize models and pipelines.
• Deploy LLMs, embeddings, and predictive modeling as functional product features.
• Collaborate with Data Engineering and AI teams, build enablement tools, and improve solutions after launch.

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 software.
• Proficiency in Python or a comparable programming language and SQL.
• Experience building and deploying models, pipelines, or applications on Snowflake, BigQuery, or similar cloud data platforms.
• Working knowledge and practical experience shipping LLMs, embeddings, and applied AI methods.
• Ability to own solutions from ambiguous business requirements through deployment and operate effectively in fast-moving environments.

Nice to have

• Fluency with Sigma, Tableau, Looker, or Power BI.
• Background 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.
• Performance-led and market-aligned compensation philosophy.
• Regular compensation reviews through formal performance reviews and check-ins.
• Commitment to diversity, equity, and inclusion, with accommodations available during recruitment.
• Hiring decisions are made by people; AI-enabled tools are not used to screen, assess, rank, or select candidates.