AI Platform Engineer

Job Summary
Location: United States
Experience: 10+ years in AI Platform Engineering
Job Type: Permanent
Thinking Minds' client is looking for an experienced AI Platform Engineer to build and manage their comprehensive AI platform. This role is crucial for ensuring the operational, economic, and governance layers of all AI agents and models are robust and efficient. The engineer will have end-to-end ownership of the stack, from GPU compute to model serving and orchestration, ensuring the platform can be operated on-premise when necessary.

Ideal Candidate Should Have
Experience with GPU compute
Proficiency in model serving
Strong understanding of AI economics
Ability to manage observability
Experience with on-premise and cloud services
Role Overview
The AI Platform Engineer will be responsible for developing and maintaining the AI platform's infrastructure. This includes managing the entire stack from GPU compute to model orchestration. The role demands a hands-on approach, where the engineer will not only build the systems but also set the standards for others to follow.

The position requires a strategic mindset to decide when to utilize on-premise solutions versus managed cloud services, ensuring economic efficiency and robust governance.

Key Responsibilities
Develop and manage the AI platform infrastructure
Ensure robust AI economics and observability
Build and operate systems on-premise and in the cloud
Set standards for AI model governance
Collaborate with cross-functional teams to align AI strategies
Monitor and optimize platform performance
Top Skills and Modules
AI Platform Engineering
GPU compute
Model serving
Observability
AI economics
On-premise and cloud services
Governance