Lead Principal Engineer, Enterprise Agentic AI Platform
Core
Architect and build production-grade agentic AI systems that securely integrate with enterprise infrastructure to automate workflows across engineering, IT, supply chain, finance, HR, and sales.
Role type
Principal/Distinguished Engineer, hands-on IC
Builds
Enterprise agent architecture, multi-agent orchestration platforms, GPU-powered inference stacks, and developer SDKs/APIs
Domain
Enterprise AI, Agentic AI, Distributed Systems, GPU Infrastructure
Deliverable
production ML models
Required skills
Python, Go, Kubernetes, Multi-agent orchestration, GPU inference optimization, System architecture, Observability, Security & Guardrails, Vector databases, CI/CD automation
Preferred skills
Open-source contributions, Enterprise AI ecosystems integration, Fine-grained policy enforcement
Technologies
Python, Go, Kubernetes, LangChain, LangGraph, NVIDIA GPUs, Vector databases
Responsibilities
Develop production-quality agentic AI systems from concept to deployment; Define and implement multi-agent orchestration patterns; Build data flywheels for continuous agent improvement; Embed security and guardrails into agent runtimes; Evaluate and extend open-source agent platforms; Collaborate on architectural direction with cross-functional teams
Seniority
Principal/Distinguished, hands-on IC
