Senior AI Architect

Tech Stack

Responsibilities

• Own and deliver AI-driven product features end-to-end, from problem definition to production rollout.
• Design AI systems deeply grounded in company data, using large-scale datasets for model context.
• Partner with data engineering and analytics to leverage data warehouses and lake house architectures and define data models and pipelines.
• Build and maintain data-driven context layers for AI systems, including retrieval/ranking pipelines, feature stores, or embedding indices.
• Define evaluation, monitoring, and feedback loops using offline analysis and production metrics.

Benefits

• Equity

Culture

Requirements