AI Platforms Leader Enterprise AI Platforms
Core
Own the strategy, architecture, and operation of an end-to-end AI Platform spanning on-prem GPU clusters and cloud services for training, fine-tuning, inference, retrieval, and agentic orchestration.
Role type
Senior IC AI Platforms Leader (Strategy & Operations)
Builds
Multi-tenant hybrid AI platform, GPU compute clusters, MLOps/LLMOps pipelines, and agentic orchestration ecosystems.
Domain
Enterprise AI/ML Infrastructure, Cloud Computing, High-Performance Computing
Deliverable
production ML models
Required skills
AI/ML platform strategy, GPU cluster operations, MLOps/LLMOps, Cloud AI services, Agentic AI orchestration, Platform engineering, DevOps, Team leadership
Preferred skills
PyTorch, CUDA, Kubernetes, Terraform, Vector databases, LangChain, MCP servers
Technologies
Kubernetes, AWS, Azure, GCP, Terraform, Helm, vLLM, KServe, Ray, Slurm, LangChain, MCP
Responsibilities
Define multi-year vision for hybrid AI platform, Operate and optimize on-prem GPU clusters, Deliver MLOps & LLMOps as a product, Lead design of agentic orchestration and MCP servers, Leverage cloud AI/ML services for training and inference, Own core platform services (identity, observability, gateways), Lead a global engineering team, Manage strategic vendors
Seniority
Senior, hands-on IC with leadership
