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6 дней назад

Senior AI Security Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Poland
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
Senior AI Security Engineer (AI Security/Cybersecurity): Defining and implementing enterprise security strategies, architectural patterns, guardrails, and risk assessments for AI applications, agentic workflows, and model-integrated services with an accent on secure AI adoption and enterprise-scale architecture. Focus on identifying data exposure, privilege, integration, prompt abuse, and runtime risks while guiding remediation across cloud, networking, APIs, identity, and application architecture.

Location: Cambridge, Massachusetts, United States; conditions also reference Warsaw, Poland. Hybrid 70/30 work model with a strong in-office component.

Company

hirify.global develops mRNA technology, infrastructure for medicine creation and delivery, and therapies in the biopharmaceutical sector.

What you will do

  • Help operationalize the enterprise AI security strategy, including target-state architecture, design principles, governance guardrails, and scalable security patterns.
  • Develop security standards and architectural guidance for model usage, agentic workflows, integrations, data access, identity boundaries, and operational controls.
  • Lead security reviews and risk assessments of AI applications, AI-enabled products, agentic solutions, and model-integrated services.
  • Identify risks involving data exposure, excessive privilege, insecure integrations, unsafe outputs, prompt abuse, and runtime behavior.
  • Perform baseline reviews across code, cloud, networking, APIs, identity, and application architecture.
  • Provide technical leadership and executive-ready guidance on AI risk, architectural tradeoffs, remediation, and enterprise security priorities.

Requirements

  • 7+ years of cybersecurity experience focused on network security, application security, and risk assessment.
  • Expertise in hybrid on-premises and cloud network environments, including AWS, Azure, or GCP security architectures.
  • Experience defining security strategy and architecture for enterprise technology initiatives and creating scalable standards, patterns, and guardrails.
  • Demonstrated expertise assessing AI applications, model-integrated services, agentic workflows, data handling patterns, and AI-specific attack paths.
  • Ability to translate technical findings and emerging AI risks into prioritized recommendations, governance controls, and adoption decisions.
  • Strong communication, leadership, judgment, and ability to work in ambiguous environments with rapidly evolving technology and risk.

Nice to have

  • Experience in large-scale or regulated environments.
  • Bachelor’s degree.

Culture & Benefits

  • 70/30 work model emphasizing in-office collaboration, innovation, teamwork, and direct mentorship.
  • Competitive healthcare and voluntary benefit programs.
  • Fitness, mindfulness, mental health, family-building, fertility, adoption, and surrogacy support.
  • Paid vacation, bank holidays, volunteer days, sabbatical, global recharge days, and discretionary year-end shutdown.
  • Savings and investment programs, plus location-specific benefits.

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