A governance and orchestration layer for routing models, managing agent tools, and operating AI systems across multi-vendor enterprise stacks.
Added Jun 12, 2026
Last signal 20h ago
Enterprises are building AI across many data platforms, cloud environments, model providers, and agent frameworks. Teams struggle to route between models, secure tool integrations, govern agent behavior, and measure outcomes from one consistent operating layer.
The product provides a centralized AI control plane that connects to existing data platforms, clouds, models, and workflow systems. It gives engineering and operations teams model routing, agent orchestration, tool permissioning, governance policies, audit trails, and outcome monitoring in one SaaS? interface.
Production AI systems are moving from pilots to enterprise deployment, creating urgent demand for shared infrastructure around orchestration, governance, and hybrid data access. The job signals show multiple companies converging on the same enterprise AI stack-control problem.
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Build and run Tier‑0 control planes for core infrastructure workflows, with direct accountability for reliability, scalability, and cost. Define how AI agents safely interact with Netflix infrastructure by building sandboxing, identity, and governance primitives and shared human/agent interfaces.
OpenRouter is the open AI routing and infrastructure layer that enterprises use to access, manage, and optimize the best large language models across providers—without lock-in, capacity constraints, or unnecessary cost. We power some of the most advanced AI teams in the world by giving them the flexibility to move fast, scale confidently, and stay future-proof as models evolve. As enterprise adoption of AI accelerates, OpenRouter sits at the center of how organizations operationalize LLMs across research, product, and production workloads.
Architect and engineer enterprise-grade AI solutions—such as agentic workflows, RAG systems, and applied foundation models—backed by highly scalable, cloud-native infrastructure including event-driven microservices, containerized workloads, and serverless compute.
Own end to end strategy, roadmap, and delivery of HPE's enterprise AI software platform across all deployment models Drive modular platform architecture spanning production inference, agent deployment, GenAI workflows, and edge AI
Enable customer engineers and platform teams to support and extend solutions after handover Design, configure, and implement AI solution stacks, including model serving, orchestration, retrieval pipelines, vector stores, and related components
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