Principal Security Engineer
Core
Define technical security strategy and architecture for an agentic AI platform handling sensitive voice and chat data at scale.
Role type
Principal Security Engineer (AI/ML Infrastructure)
Builds
Secure AI/ML pipelines, cloud-native infrastructure, and multi-tenant data flows for enterprise customers.
Domain
Artificial Intelligence / Machine Learning / Cloud Security
Deliverable
production ML models | infrastructure
Required skills
Security engineering strategy, threat modelling, secure architecture for distributed systems, cloud security (AWS/GCP/Azure), container orchestration (Kubernetes), identity and access management, encryption, secure data handling, compliance governance (SOC 2, ISO 27001), mentoring senior engineers.
Preferred skills
Experience securing AI/LLM systems, GDPR compliance, influencing engineering culture.
Technologies
AWS, GCP, Azure, Kubernetes, LLM-based systems, voice/chat AI pipelines.
Responsibilities
Own technical security engineering strategy across platform and AI/ML systems; lead deep threat modelling and architecture reviews; drive secure-by-design practices into SDLC; design detection and incident response capabilities; guide security architecture for multi-tenant data flows; support compliance and governance efforts; mentor senior engineers and security practitioners; act as technical voice with enterprise customers.
Seniority
Principal, hands-on IC with strategic influence
