Platform Engineer, AI Enablement
Core
Build infrastructure and governed model-access layers enabling safe, reliable, and cost-effective access to language models and AI agents for the company.
Role type
Senior Platform Engineer (AI Enablement)
Builds
Runtime, services, developer tooling, and observability for agentic workflows in production.
Domain
AI Infrastructure / LLM Operations / Cloud Native
Deliverable
production ML models | infrastructure
Required skills
System design, Cloud infrastructure, Kubernetes, Infrastructure as Code, LLM APIs, Observability, Security (AuthN/AuthZ/Audit), API/Service development
Preferred skills
LLM gateway/model-routing, Agent orchestration (MCP), AI governance, Safety-critical domain experience
Technologies
Kubernetes, Cloud platforms, LLM providers, MCP, Agent frameworks
Responsibilities
Design and operate infrastructure for AI model access; Build runtime and tooling for agentic workflows; Implement observability (metrics, tracing, logging); Enforce governance and safety controls; Develop reusable platform primitives; Automate deployment processes; Partner on platform integration and rollout; Educate teams on platform usage.
Seniority
Senior, hands-on IC