обновлено 1 день назад
Software Architect (AI Cybersecurity)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Architect (AI Cybersecurity): Leading the technical evolution of an AI cybersecurity platform by designing scalable cloud, data, and AI systems with an accent on distributed architectures, agentic workflows, and secure multi-tenant SaaS. Focus on building production-ready prototypes, solving latency, cost, reliability, and security challenges, and guiding architecture across engineering, product, and data science.
Location: Tel Aviv, Israel
Company
develops an AI agent security platform providing visibility, governance, detection, prevention, and response across enterprise AI agent environments.
What you will do
- Partner with engineering teams to solve complex architectural and technical challenges.
- Design scalable, secure, reliable, and maintainable systems for large-scale data, cloud, and AI workloads.
- Build and validate proofs of concept for architectures, data platforms, AI capabilities, and emerging technologies.
- Drive technical direction across engineering, product, and data science and turn new technologies into production-ready solutions.
- Lead architecture and design reviews focused on scalability, reliability, security, and operational excellence.
- Mentor engineers through hands-on collaboration, code reviews, and system design discussions.
Requirements
- 7+ years in a senior technical leadership role such as Principal Architect, Staff Engineer, or Lead Engineer.
- Deep expertise in large-scale distributed systems, data processing pipelines, and cloud-native architectures.
- Strong background in cybersecurity and secure system design; SaaS or cybersecurity product experience is advantageous.
- Hands-on experience building, deploying, and scaling AI-native applications and agentic workflows in enterprise production environments.
- Experience with agentic architectures, orchestration frameworks, evaluation pipelines, and AI workload optimization.
- Experience designing multi-tenant SaaS platforms, including strong isolation, scalability, and Bring Your Own Cloud deployment models.
Culture & Benefits
- Hands-on collaboration across engineering teams.
- Cross-functional work with product and data science.
- Focus on AI-native engineering practices and technical mentorship.
- Work on enterprise-scale AI agent security for Fortune 500 and Global 2000 organizations.
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