aidata protectionllmlangchaincybersecuritythreat modelingcloud securitysecurity architecturemcpidentity and access management
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко очерченная роль ведущего архитектора в быстрорастущей сфере защиты ИИ с заметным влиянием на работу крупной финтех-компании; требования к опыту высокие, а формат работы - очный.
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Защита ИИ-систем
Понятная зона ответственности
Финтех под контролем
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Cybersecurity Architect Principal (AI Guardrail) (AI/Cybersecurity): Designing secure architectures and guardrails for enterprise AI agents with an accent on threat modeling, identity and access control, data protection, and secure agent tooling. Focus on analyzing prompt injection and other emerging AI threats, creating reusable security standards, and guiding engineering and product teams in a regulated financial services environment.
Location: US FL JAX 347, United States
Company
hirify.global provides financial services technology and enterprise solutions.
What you will do
Design secure architectures and reference patterns for enterprise infrastructure, products, and solutions incorporating AI agents.
Lead threat modeling and security design reviews for AI features, identifying risks and recommending fixes before launch.
Review agent authentication, data and tool access, authorization, monitoring, and logging.
Create secure-by-design standards and reusable controls for engineering teams.
Track emerging AI threats and industry frameworks while mentoring cybersecurity architects and engineers.
Requirements
10+ years of cybersecurity experience, including several years as a senior or principal architect designing secure systems for large, complex organizations.
Industry certification such as CISSP, CCSP, SABSA, or a cloud security architecture certification.
Hands-on experience securing AI and LLM systems, including protection against prompt injection, data leakage, excessive permissions, and unsafe tool use.
Strong knowledge of identity, access, authorization, logging, and data protection for autonomous enterprise and personal agents.
Working knowledge of agent frameworks and protocols such as Model Context Protocol (MCP), LangChain, or similar orchestration tools.
Ability to create practical reference architectures and secure-by-design standards aligned with NIST AI RMF, OWASP Top 10 for LLMs, and ISO/IEC 42001.
Ability to explain AI risk, guide technical trade-offs, and build consensus across security, product, and technology teams in a regulated financial services environment.
Nice to have
Experience designing secure AWS or Azure infrastructure, including cloud authentication, identity federation, least-privilege access, network segmentation, secrets management, and data protection.
Background in financial services or another highly regulated industry.
Knowledge of emerging AI regulations and governance requirements, including the EU AI Act, and experience translating them into practical design controls.
Culture & Benefits
Full-time position with significant responsibility and broad opportunities.
Modern international work environment with a collaborative, flexible, and respectful culture.
Competitive salary and benefits.
For US positions, a conditional offer requires completion of a drug test.
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