6 дней назад
Senior AI Security Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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