- Design and own core AI infrastructure including shared systems, integration patterns, and runtime environments.
- Build an operational layer for AI deployment covering logging, evals, cost tracking, latency monitoring, and feedback loops.
- Design and build an agent framework and skill library for automating workflows.
- Define interfaces, contracts, and composition patterns to enable teams to build agents and skills.
- Create internal tooling, documentation, and onboarding paths to make the AI platform accessible.
- Partner with product and engineering teams to identify AI-driven workflow improvements and cross-functional opportunities.
- Establish standards for AI safety, reliability, and quality across the organization.
Software Engineering