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6 дней назад

Principal Architect (AI Security)

148 800 - 223 200$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Principal Architect (AI Security): Defining and leading the security architecture strategy for AI platforms and infrastructure with an accent on adversarial ML, model integrity, and secure-by-default development. Focus on building resilient, trustworthy AI systems while ensuring compliance with evolving industry standards like NIST AI RMF.

Location: Remote (USA); must be willing and able to travel to client or corporate office locations as business needs require.

Salary: $148,800–$223,200

Company

A leading provider of technology-enabled revenue cycle management solutions for health systems across the United States.

What you will do

  • Define end-to-end security architecture for AI/ML systems, including training pipelines and inference infrastructure.
  • Develop threat models for AI-specific attack surfaces such as model poisoning, prompt injection, and model inversion.
  • Lead design reviews and establish standards for secure-by-default AI development.
  • Partner with ML engineers to embed security controls throughout the model lifecycle.
  • Translate AI-specific regulations like NIST AI RMF into actionable architectural requirements.
  • Act as a technical authority bridging security, platform engineering, and product management teams.

Requirements

  • Must be based in the United States and willing to travel for business needs.
  • 12+ years of experience in information security, with 5+ years in cloud or platform architecture.
  • Deep expertise in securing ML/AI systems, including LLMs and training pipelines.
  • Proficiency in cloud security (AWS, Azure, or GCP) and application security.
  • Strong understanding of AI-specific threat vectors and secure software development lifecycles.
  • Excellent communication skills for explaining complex security risks to executive leadership.

Nice to have

  • Familiarity with NIST AI RMF governance frameworks.
  • Relevant certifications such as CISSP or CCSP.
  • Published research, conference talks, or open-source contributions in AI/ML security.

Culture & Benefits

  • Comprehensive healthcare, retirement, and well-being programs.
  • Investment in professional development, including certification support and tuition reimbursement.
  • Quarterly and annual incentive programs for high performance.
  • Collaborative, innovation-focused culture with work-life flexibility.

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