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2 дня назад

AI Security Architect

Формат работы
remote (только USA)
Тип работы
project
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

AI Security Architect (AI): Design and implement comprehensive security architecture and governance frameworks for enterprise AI deployments with an accent on data protection, model security, and regulatory compliance. Focus on conducting threat modeling, establishing usage policies, and developing incident response procedures for AI-specific risks.

Location: Remote, United States

Company

hirify.global is a leading consulting firm specializing in AI transformation, cloud, and data solutions for enterprises.

What you will do

  • Design AI security architecture including governance, data protection, and model standards for enterprise systems.
  • Collaborate with AI deployment team to align security controls with business objectives.
  • Develop and enforce AI usage policies and guardrails for employees and developers.
  • Conduct threat modeling and risk assessments for AI vulnerabilities like prompt injection and data poisoning.
  • Evaluate AI security tools and partner with compliance teams for regulatory adherence.
  • Monitor AI security landscape and establish metrics for executive reporting.

Requirements

  • Bachelor's in Computer Science, Cybersecurity, or related; Master's preferred
  • 8+ years in information security, 3+ in security architecture
  • Experience designing security for AI/ML systems including LLMs and generative AI.
  • Deep knowledge of AI risks: prompt injection, data poisoning, adversarial attacks.
  • Strong grasp of NIST CSF, ISO 27001, SOC 2, GDPR, CCPA.
  • Cloud security in AWS, Azure, or GCP; familiarity with AI platforms like OpenAI API, SageMaker.
  • Excellent communication; relevant certifications like CISSP, CCSP.

Nice to have

  • Insurance or financial services experience.
  • Hands-on with AI security tools like firewalls and DLP.
  • ML/data science background; responsible AI principles.
  • Security awareness programs; AI security community involvement.

Culture & Benefits

  • Thriving through challenges with a focus on innovation and growth.
  • Winning together in a collaborative environment.
  • Equal Opportunity employer committed to diversity and inclusion.

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