Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from val's services via LinkedIn
Senior AI Infrastructure Engineer, Developer Experience, will design and implement scalable AI infrastructure across on-prem, hybrid, and cloud environments.
They collaborate closely with data science and ML teams to understand their needs, translating requirements into reusable architectural patterns.
Key responsibilities include reducing development friction, creating developer-friendly APIs, and establishing standards for AI governance, deployment, and model management.
They optimize resource allocation, build Infrastructure-as-Code frameworks, and ensure security, observability, and cost efficiency.
Required skills involve expertise in multi-environment AI infrastructure, Kubernetes, distributed compute frameworks, GPU resource management, and cloud platforms.
Preferred experience includes industrial AI, edge deployment, robotics, and real-time systems.
The role involves 10% travel, offers a salary range of $144,000-$198,000, and includes benefits such as health coverage, 401k, and paid time off.