Designs, builds, operates, tests, deploys, monitors, and supports backend services powering an enterprise AI platform. Responsibilities include AI gateway and orchestration services, APIs, multi-tenancy, entitlements, metering, quotas, integrations, governed data access, reliability engineering, and platform service ownership. The role requires designing resilient distributed systems and collaborating effectively in a client-facing consulting environment.

Designs, builds, and operates cloud infrastructure and reliability platforms. Responsibilities include infrastructure as code, Kubernetes, CI/CD, observability, incident response, SLOs, production readiness, automation, cost optimization, and hybrid or edge deployments. The role improves platform reliability, reduces operational toil, supports mission-critical customer environments, and enables teams to ship safely and consistently.

Build and operate production AI capabilities across enterprise platforms, including agent runtimes, RAG, model routing, tool calling, guardrails, evaluation, monitoring, and cost and latency optimization. The role requires shipping reliable AI systems, creating measurable evaluation frameworks, monitoring behavior, managing safety and performance risks, and collaborating with backend, platform, product, security, and client teams to deliver practical AI solutions.