Teams at Kastle AI

Design, operate, and scale distributed infrastructure powering production AI agents for financial institutions. Responsibilities include Kubernetes architecture, Terraform and GitOps pipelines, multi-region reliability, disaster recovery, observability, incident response, security hardening, and distributed-systems troubleshooting. The role partners with ML, platform, and security teams, participates in on-call rotation, and mentors engineers.

Own the technical direction and architecture of real-time AI voice and compliance systems. Lead a team while remaining hands-on with coding, system design, reviews, mentoring, hiring, and production operations. Build scalable Kubernetes-based distributed services, maintain sub-700ms voice latency, improve reliability and observability, and develop self-improving AI feedback loops. Partner with product, customers, and forward-deployed engineers to deliver secure, compliant systems for regulated banking environments.

Leads the deployments organization responsible for taking AI agents from signed contracts to production at banks, lenders, and mortgage servicers. Owns customer delivery, integrations, UAT, go-live, compliance coordination, deployment processes, team building, pricing, capacity planning, and customer outcomes. Partners with Product, Engineering, Sales, and Customer Success to create repeatable deployment playbooks and inform the product roadmap.