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2 дня назад

Sr. Security Engineer (AI)

121 000 - 226 000$
Формат работы
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
Sr. Security Engineer (AI) (AI Security): Securing internal LLM integrations, agent frameworks, MCP connectors, and data pipelines with an accent on threat modeling, access controls, and adversarial testing. Focus on implementing agent isolation and least-privilege controls, operating AI governance processes, and producing evidence for SOC 2 Type II and ISO 42001 audits.

Location: Hybrid in Boston, Massachusetts, with office attendance three days per week. U.S. work authorization is required; hirify.global participates in E-Verify.

Annual base salary: $121,000–$226,000, depending on experience, skills, qualifications, and location.

Company

hirify.global builds AI-powered software that helps property and casualty insurance carriers communicate with customers during claims.

What you will do

  • Secure LLM integrations, agent frameworks, MCP connectors, and AI data pipelines across the internal environment.
  • Lead threat modeling for new AI capabilities and implement mitigations during the design phase.
  • Build controls for agent isolation, least-privilege execution, credential scoping, and data boundaries.
  • Run AI risk assessments, red-team testing, tool reviews, vendor assessments, and remediation activities.
  • Operate the agent and MCP connector lifecycle from proposal and approval through monitoring and retirement.
  • Maintain incident response runbooks, security metrics, compliance evidence, and employee guidance for safe AI use.

Requirements

  • 5+ years of experience in security engineering, application security, or infrastructure security, with hands-on AI/ML exposure.
  • Experience securing or building LLM-based systems, agentic frameworks, or ML pipelines in cloud environments.
  • Understanding of prompt injection, tool-use exploitation, privilege escalation, data poisoning, and model or training-data leakage.
  • Strong Python skills and experience building security tooling, automation, and testing.
  • Strong AWS security knowledge, including IAM, networking, container isolation, encryption, and monitoring.
  • Familiarity with SOC 2, ISO 27001, ISO 42001, and NIST AI RMF, plus the ability to communicate risk clearly.

Nice to have

  • Experience with AI red-teaming, adversarial testing, MCPs, or agent orchestration frameworks.
  • Background in DLP, monitoring, or observability for AI or cloud workloads.
  • Experience at a growth-stage B2B SaaS company.

Culture & Benefits

  • Flexible hybrid work environment focused on collaboration, learning, balance, and trust.
  • Equity grants for all employees and a 4% matching 401(k) program.
  • Medical, dental, vision, disability, and life insurance for employees working 30+ hours per week.
  • Monthly wellness stipend, paid parental leave, and flexible vacation policy.
  • Startup culture emphasizing creativity, inclusion, belonging, and opportunities to take on new challenges.

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