AI Security Engineer (System Security)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Security Engineer (System Security): Securing the design, build, and operation of AI systems across on-premise and cloud environments with an accent on infrastructure security and agentic workloads. Focus on hardening LLM deployments, implementing guardrails against prompt-injection, and aligning AI architecture with frameworks like OWASP and MITRE ATLAS.
Location: Sofia, Bulgaria (Onsite)
Company
is a leading technology company in the regulated gaming industry, providing business intelligence-driven software, content, and platform technology globally.
What you will do
- Review AI systems and infrastructure, including LLM deployments, gateways, and vector stores, to provide hardening recommendations.
- Assess and strengthen guardrails against prompt-injection, rate limiting, and authentication issues.
- Advise on secure-by-design AI architecture based on OWASP, MITRE ATLAS, and NIST AI RMF.
- Evaluate the AI supply chain, focusing on model provenance and AIBOM/SBOM scanning.
- Define security standards and reference patterns for secure AI operation across the business.
- Review logging and observability for AI workloads to enhance SOC detection capabilities.
Requirements
- Solid experience in infrastructure and security engineering (Linux, networking, cloud, IAM, container security).
- Experience with self-hosted LLM deployments and cloud platforms (Azure Foundry, Bedrock, VertexAI, etc.).
- Knowledge of LLM-specific threats like prompt injection, data poisoning, and insecure output handling.
- Familiarity with AI security frameworks (OWASP LLM Top 10, MITRE ATLAS, EU AI Act).
- Experience with Infrastructure-as-Code (Terraform, Ansible) and CI/CD pipelines.
- Experience working in regulated environments such as gaming, finance, or healthcare.
Nice to have
- Practical experience building CI/CD security gates and guardrails.
- Proficiency in Python and Bash scripting.
- Hands-on experience securing MCP/agentic AI infrastructure.
- Knowledge of AIBOM/SBOM tooling and MLSecOps/AI red-teaming.
Culture & Benefits
- Collaborative environment with a focus on ownership and curiosity.
- Continuous learning opportunities in the rapidly evolving field of AI security.
- Opportunity to shape the secure adoption of AI within a global gaming technology leader.
- Inclusive culture valuing diversity, transparency, and equal opportunities.
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