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OLIX ищет инженера по безопасности с опытом в области защиты AI/ML и агентных систем. Ваша задача — внедрить защиту на уровне архитектуры, управлять идентификацией агентов и минимизацией привилегий, а также обеспечить соответствие ISO 42001.
Рабочие задачи включают создание контроля над угрозами LLM и усиление инфраструктуры облачных вычислений для разработки и эксплуатации AI‑нагрузок. Кандидат должен иметь практический опыт в AWS/security и программировании на Python или TypeScript, а также
AI is growing faster than any technology in history, and the demand has created an infrastructure gap: we can no longer build chips or power stations fast enough to keep up. The industry still relies on a ten-year-old hardware blueprint that has reached its limit. The OLIX Decode Accelerator 1 (DX-1) is the first accelerator architected specifically for decode. Rack-scale co-design of logic, data movement, packaging, optics and interconnect delivers a step change in system-level performance.
Map the AI footprint: build and maintain the inventory of AI tools, models, agents and data flows across the company. Secure agents: give every agent a managed identity, least-privilege access, logged actions and the right human approvals. Build controls against AI threats: prompt injection, data leakage, model and package supply chain, unsafe agent actions and shadow AI. Secure AI infrastructure: harden the cloud compute our teams use to build and run AI workloads. Make AI security measurable: run our ISO 42001 self-assessment and feed AI security events into our SIEM. Enable safe adoption: review new AI tools within days and publish the guardrails teams need.
5 or more years in security engineering, application security or cloud security, with at least 2 years securing AI or ML systems, LLM applications or agents. Hands‑on knowledge of LLM‑specific threats and their mitigations. Experience securing agentic systems: tool permissions, MCP servers, credentials and human approval steps. AWS security experience and identity experience, ideally Okta. Software engineering in Python or TypeScript. Daily use of AI coding tools and agents in your own work. Будет плюсом: experience with ISO 42001 or the NIST AI Risk Management Framework, or in a hardware or deep‑tech company