Position Overview
The opportunity
Lead multi tower AI programs that integrate agentic AI, domain language models (DLMs), knowledge graphs, and RAG into enterprise platforms, with hardened deployments on NVIDIA AI Enterprise and hyperscale clouds. Drive competency building (playbooks/POVs) on AgentOps/LLMOps, Sovereign AI, and AI governance for global pursuits.
Your key responsibilities
Program leadership: Plan and govern end to end delivery of multi agent systems, SLMs, and enterprise copilots; own backlog, KPIs, budget, and risk.Architecture & blueprints: Publish reference architectures for agent orchestration (ReAct/hierarchical), memory design (session + vector + KG), and RAG variants (hybrid, rerank, long context, GraphRAG).NVIDIA stack ownership: Standardize NIM microservices for inference, Triton/TensorRT optimization, and NeMo pipelines for customization/evaluation; align with NVIDIA AI Enterprise lifecycle.Data ...