Senior AI Infrastructure Engineer - Security and Networking
Core
Build and maintain scalable infrastructure, tools, and processes to support the AI lifecycle (development, deployment, evaluation, optimization) for security and networking AI models and agents in production.
Role type
Senior AI Infrastructure Engineer (ML/AI, MLOps, agentic AI)
Builds
Production-grade infrastructure for security and networking AI models and agents
Domain
AI/ML infrastructure, Security, Networking, Cloud
Deliverable
production ML models
Required skills
Python, C++, ML/AI frameworks, microservices, container orchestration, cloud platforms, ML training/inference optimization, CI/CD tools, Linux internals, network protocols, security research (firewalls, intrusion detection)
Preferred skills
Experience deploying generative models and multi-agent systems, high-performance computing
Technologies
GitLab, GitHub Actions, Jenkins
Responsibilities
Architect scalable infrastructure for deploying security and networking AI models; manage ML/agentic workflows for performance and efficiency; design pipelines for AI training, inference, and experimentation; partner with data scientists to operationalize AI agents; integrate pipelines into CI/CD processes; build proactive monitoring systems; implement access controls and encryption standards; document guidelines and lead knowledge-sharing sessions
Seniority
Senior, hands-on IC