Назад
3 дня назад

Senior/Staff Security Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
Switzerland
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/Staff Security Engineer (AI): Building and operationalizing threat intelligence pipelines to protect frontier AI systems with an accent on tracking nation-state actors and advanced criminal threats. Focus on developing automated detection logic, conducting threat hunts, and partnering with incident response teams to secure cloud-native and research-heavy infrastructure.

Location: Must be based in or able to work from the Zürich office (hybrid policy: at least 25% in-office)

Company

Anthropic is an AI safety and research company dedicated to building reliable, interpretable, and steerable AI systems.

What you will do

  • Research and track threat actors targeting AI labs and cloud infrastructure.
  • Build and maintain automated pipelines to operationalize indicators of compromise.
  • Execute intelligence-driven threat hunts across endpoint, cloud, and identity telemetry.
  • Perform technical analysis of malware and attacker infrastructure to extract TTPs.
  • Partner with Detection Engineering and Incident Response to translate intelligence into durable detection rules.
  • Build external intelligence-sharing relationships with peer companies and government partners.

Requirements

  • Must be able to work from the Zürich office at least 25% of the time.
  • Hands-on experience in cyber threat intelligence, threat hunting, or intrusion analysis.
  • Strong engineering skills with production-quality Python and experience building data pipelines.
  • Deep knowledge of nation-state or advanced criminal threat actor tradecraft.
  • Experience authoring detection logic such as YARA, Sigma, or SIEM-native queries.
  • Ability to perform malware and infrastructure analysis to develop findings.

Nice to have

  • Existing network in the threat intelligence community.
  • Experience defending cloud-native environments like AWS, GCP, or Kubernetes.
  • Experience applying LLMs or AI tooling to accelerate intelligence analysis.
  • Public research, conference talks, or open-source contributions in the CTI space.

Culture & Benefits

  • Competitive compensation and benefits package.
  • Generous vacation and parental leave policies.
  • Flexible working hours to support work-life balance.
  • Collaborative research environment with frequent discussions on high-impact AI safety work.
  • Visa sponsorship support provided for qualified candidates.

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