Principal Agentic AI Security Engineer
Core
Design, build, and operate production-grade agentic AI systems combining foundation models, software services, enterprise data, tools, and automation.
Role type
Principal Agentic AI Security Engineer
Builds
Secure and reliable platforms for complex multi-step workflows with replaceable model components
Domain
Enterprise AI / Agentic Systems / Cloud Infrastructure
Deliverable
production ML models
Required skills
Distributed systems architecture, Agent orchestration, Model-agnostic AI integration, Python backend engineering, AI security engineering, Kubernetes/Cloud-native deployment
Preferred skills
Cybersecurity automation, Open-weight model operations, Enterprise-scale distributed systems
Technologies
LangGraph, AutoGen, Semantic Kernel, MCP, Vector databases, Kubernetes, CI/CD, Docker, REST/gRPC
Responsibilities
Design scalable architectures for agentic AI systems; Build agent orchestration and multi-agent workflows; Develop model-agnostic interfaces; Implement security principles including sandboxing and guardrails; Deploy services using containers and Kubernetes; Evaluate emerging models and frameworks.
Seniority
Principal, hands-on IC with strategy & mentorship
