Platform Engineer, AI Enablement

Job summary

Responsibilities

You’ll design, build, and operate infrastructure for model access, agent runtimes, and observability. You’ll take projects from initial problem definition through technical design, deployment, and ongoing operation, partnering closely with security, IT, and engineering teams.

• A governed, production-ready access layer for language models, including routing, authentication, cost controls, and auditability.
• Secure infrastructure and reusable tooling for running agentic workflows in production.
• Observability covering platform usage, cost, reliability, and performance.
• Governance and safety controls that make AI use secure, compliant, and auditable.
• Shared primitives, standards, and best practices that enable teams to build and deploy agents without creating one-off infrastructure.

Tech stack

• Kubernetes
• RAG