Own the most complex technical surfaces of the Analytics MCP platform, including routing infrastructure, orchestration, agent infrastructure, and data warehouse integration.
Lead implementation of platform architecture decisions, translating target designs into production-grade systems that meet reliability, scalability, and observability standards.
Set the technical bar for the team through code, design, review, and mentorship, raising the depth and consistency of engineering practice across AI Engineering.
Drive resolution of the system's hardest technical problems, including incident response, root-cause analysis, and architecture-level remediation when the platform misbehaves.
Contribute to the build and operation of internal agents that automate AI Engineering workflows, including build, deployment, monitoring, and operational support.
Perform other related duties as assigned.
