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6 часов назад

Staff AI Security Engineer (AI)

188 000 - 275 000$
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

Staff AI Security Engineer (Cloud/AI): Designing and implementing security controls across AI/ML infrastructure and agentic workflows with an accent on MLOps/MLSecOps, threat modeling, and adversarial testing. Focus on building secure-by-default foundations for AI development and managing AI-adjacent risks in the corporate environment.

Location: Hybrid (Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA). Remote considered for candidates > 30 miles from an office. Must be a U.S. person (citizen, permanent resident, refugee, or asylee) to comply with export control regulations.

Salary: $188,000 – $275,000

Company

hirify.global is The Essential Cloud for AI™, providing specialized infrastructure, tools, and expertise to enable innovators to build and scale AI.

What you will do

  • Design and implement security controls for AI/ML infrastructure, including model artifact storage, data lineage, and ML pipeline security (MLSecOps).
  • Develop AI security policies and threat models for model development, training pipelines, and agentic systems.
  • Build security guardrails for agentic workflows, including sandboxing, execution boundaries, and input/output validation.
  • Lead the secure adoption of AI tools across the organization, evaluating vendors and defining data sharing policies.
  • Conduct threat modeling and adversarial testing against prompt injection, data poisoning, and model extraction.
  • Influence architecture across platform, security, and ML teams to embed security into AI platforms and developer tooling.

Requirements

  • 10+ years of experience in security engineering across cloud, application, or infrastructure.
  • Direct experience with AI/ML systems, including LLMs, training pipelines, or MLOps.
  • Strong coding proficiency in Go, Python, or similar languages.
  • Experience with Kubernetes, containerized environments, and major cloud platforms (AWS, GCP, Azure).
  • Must be a U.S. person (citizen, lawful permanent resident, refugee, or asylee) for export control compliance.

Nice to have

  • Experience building or securing LLM-based systems or agent frameworks like LangChain.
  • Background in adversarial ML or AI red teaming.
  • Knowledge of confidential computing and secure enclaves.
  • Experience in high-performance or GPU-centric environments.

Culture & Benefits

  • 100% company-paid medical, dental, and vision insurance.
  • 401(k) with generous employer match and Employee Stock Purchase Program (ESPP).
  • Flexible PTO and comprehensive mental wellness benefits through Spring Health.
  • Catered lunch daily at office and data center locations.
  • Paid parental leave and family-forming support through Carrot.
  • Support for professional growth with tuition reimbursement.

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