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Senior Security Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Security Engineer (AI): Designing and implementing security architecture and controls for AI-driven, multi-cloud healthcare systems with an accent on cloud security, data protection, and secure AI development. Focus on threat modeling, defending LLM and ML systems against emerging attacks, and building security automation across AWS, GCP, Azure, and CI/CD.

Location: Tel Aviv District, Israel

Company

hirify.global is building an AI-powered system of action for community-based care, supporting behavioral health, hospice, home health, and other care teams.

What you will do

  • Act as a security architect for new initiatives by participating in design reviews, creating threat models, reference designs, and decision documents.
  • Partner with product and engineering teams to translate security requirements, technical trade-offs, and risks.
  • Own security across AWS, GCP, and Azure, including identity, networking, workload, and data protection controls.
  • Build defenses for LLM and ML systems, including prompt injection, model abuse, training-data integrity, agentic workflows, MCP and tool-use exposure, and AI supply-chain risks.
  • Lead data security initiatives covering classification, encryption, key management, DLP, access governance, and data-flow mapping.
  • Evaluate and deploy security technologies, automate controls, build internal tools, contribute to detection pipelines, and integrate security into CI/CD.

Requirements

  • 5+ years of experience in security engineering, application security, or cloud security, including hands-on technical work.
  • Strong software development background with experience shipping production code and reviewing code.
  • Deep experience securing multi-cloud environments, including IAM, networking, workload security, and infrastructure as code.
  • Ability to identify trust boundaries, blast radius, failure modes, and effective controls from system architectures.
  • Hands-on experience with data security at scale, including classification, encryption, key management, and access controls.
  • Direct experience with AI/ML security, LLM applications, agentic systems, model deployments, or AI infrastructure.

Culture & Benefits

  • Work as a hands-on technical leader within the security organization.
  • Collaborate closely with R&D as a technical partner rather than a gatekeeper.
  • Help evolve the security stack through technology evaluations, proofs of concept, and end-to-end deployments.

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