Zenity
Zenity
Zenity develops security technology for AI agents and applications, covering the full lifecycle from build time through runtime. Its SaaS platform combines application security controls with AI Security Posture Management to help enterprises address risks such as indirect prompt injection, data leakage, and governance gaps. Zenity supports secure low-code and no-code development while helping organizations manage compliance and operational continuity across AI agents and automations. Its enterprise customer base spans technology, healthcare, finance, logistics, and other industries.

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.

Description

  • 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

Requirements

  • 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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