Zenity
Zenity
Zenity жасанды интеллект агенттері мен қолданбаларына арналған қауіпсіздік технологияларын әзірлейді және құрастыру кезеңінен бастап орындау ортасына дейінгі бүкіл өмірлік циклді қамтиды. Оның SaaS платформасы қолданба қауіпсіздігін басқару құралдарын AI қауіпсіздігі жағдайын басқару жүйесімен біріктіріп, кәсіпорындарға жанама промпт инъекциясы, деректердің сыртқа шығуы және басқару олқылықтары сияқты тәуекелдерді шешуге көмектеседі. Zenity қауіпсіз төмен кодты және кодсыз әзірлеуді қолдай отырып, ұйымдарға AI агенттері мен автоматтандыруларының сәйкестігі мен операциялық үздіксіздігін басқаруға жәрдемдеседі. Оның корпоративтік клиенттері технология, денсаулық сақтау, қаржы, логистика және басқа да салаларды қамтиды.

Senior Software Architect, AI Security | Zenity (Hybrid, Israel)

Zenity is seeking a Senior Software Architect to advance its AI agent security platform. The role focuses on scalable cloud, data, and AI architecture for secure enterprise production systems.

Сипаттама

  • Collaborate with engineering teams on complex architectural challenges and lead the design of scalable, secure, maintainable systems
  • Develop and validate proofs of concept for new architectures, data platforms, AI capabilities, and emerging technologies
  • Set technical direction across engineering, product, and data science, translating new technologies into production-ready solutions
  • Lead architecture and design reviews focused on scalability, reliability, security, and operational excellence
  • Support engineer growth through hands-on collaboration, code reviews, and system design discussions while advancing AI-native engineering practices

Талаптар

  • At least 7 years in senior technical leadership, such as Principal Architect, Staff Engineer, Lead Engineer, or an equivalent role, with a strong record of delivering production systems
  • Advanced expertise in large-scale distributed systems, data processing pipelines, and cloud-native architecture
  • Strong cybersecurity and secure systems design experience; experience with SaaS or cybersecurity products is a significant advantage
  • Hands-on experience building, deploying, and scaling AI-native applications and agentic workflows in enterprise production environments
  • Demonstrated experience implementing scalable agentic architectures, orchestration frameworks, and evaluation pipelines for production AI systems
  • Experience balancing latency, cost, reliability, and security when serving AI and agentic workloads at scale
  • Familiarity with agentic AI frameworks and modern AI-native engineering practices, including coding agents and AI-assisted software development
  • Experience designing and building multi-tenant SaaS platforms with robust isolation and scalability
  • Familiarity with Bring Your Own Cloud or comparable enterprise deployment models
  • Excellent communication and technical leadership skills, with the ability to influence architecture and collaborate across engineering teams

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