System & AI Security Engineer
Core
Review and harden AI systems, infrastructure, and security controls for self-hosted and cloud LLMs, agentic workloads, and traditional security domains (EDR, email, endpoint).
Role type
Senior System & AI Security Engineer
Builds
Hardened AI infrastructure, security guardrails, and compliance controls for LLMs and agentic applications
Domain
Cybersecurity, AI/ML Security, Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
AI system security, LLM threat mitigation, infrastructure hardening, security compliance, identity and access management, supply chain security, observability, automation scripting
Preferred skills
Agentic AI governance, AIBOM/SBOM tooling, CI/CD security gates, Python/Bash scripting
Technologies
Azure Foundry, Amazon Bedrock, Google VertexAI, Ollama, LMStudio, Defender for Endpoint, CrowdStrike, SentinelONE, Terraform, Ansible, MITRE ATLAS, OWASP Top 10 for LLM Applications
Responsibilities
Review AI systems and infrastructure for hardening measures; Design and implement EDR, proxy, email security, and endpoint hardening solutions; Assess guardrails and controls against industry best practices; Evaluate AI supply chain risks and model provenance; Define security standards and best-practice guidance for AI adoption; Review logging and detection coverage for AI workloads; Assess identity, access, and secrets management for AI models and tools. (via careerplan.io/jobs/744000153444270-system-ai-security-engineer-at-playtech)
Seniority
Senior, hands-on IC
