Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Это четко описанная руководящая роль в быстро развивающейся сфере безопасности ИИ в крупной финансовой компании, но без указанной зарплаты сложнее оценить предложение в целом.
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Зарплата не указанаПерспективная сфераПонятная зона ответственностиГибкие льготы
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Security CoE Lead, VP (AI/Cybersecurity): Building and leading an enterprise AI Security Centre of Excellence with an accent on security strategy, governance, secure AI enablement, and emerging AI risk management. Focus on defining AI security standards, coordinating architecture and red teaming, managing LLM, RAG, agentic AI and supply-chain vulnerabilities, and developing specialist teams.
Location: Madrid, Spain; hybrid working model with office attendance and work from home. The exact office/home split will be discussed during the application and interview process.
Company
hirify.global is an investment management firm transforming its Technology function and building internal cybersecurity and AI security capabilities.
What you will do
Define the AI security strategy, operating model, roadmap, governance framework, and service catalog.
Lead secure AI adoption across business, technology, risk, compliance, and audit functions.
Establish AI security standards, controls, metrics, and Mythos readiness.
Coordinate AI architecture, red teaming, security engineering, data protection, and assurance capabilities.
Build a long-term AI security team and manage specialist consultants and vendors.
Requirements
10+ years of progressive cybersecurity experience across security engineering, architecture, vulnerability management, application or cloud security, or technology risk.
Recent experience applying cybersecurity expertise to AI/ML and generative AI security.
Experience building or leading vulnerability and threat management capabilities, including risk prioritization, remediation governance, metrics, and executive reporting.
Practical experience addressing LLM, RAG, agentic AI, model/API, data, and AI supply-chain vulnerabilities.
Strong leadership, stakeholder management, and delivery experience in complex regulated environments; financial services experience is preferred.
Ability to use AI tools to improve productivity and workflows while applying critical judgment to responsible and ethical use of data and AI outputs.
Culture & Benefits
Hybrid working model balancing in-person collaboration with work from home.
Personalized benefits plan covering healthcare, company perks, and retirement options.
Inclusive, diverse, and supportive working environment.
Flexible work arrangements and interview adjustments available for disability or long-term health conditions.
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