14 часов 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): 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 AI risk, data access, identity boundaries, and secure integrations. Focus on identifying attack paths and control gaps, conducting reviews across cloud, code, networking, APIs, and application architecture, and translating findings into prioritized remediation guidance.
Location: Warsaw, Poland; 70/30 in-office work model
Company
develops mRNA technology, infrastructure for medicine creation and delivery, and therapies in the biotech and healthcare space.
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 AI systems, model usage, agentic workflows, integrations, data access, identity boundaries, and operational controls.
- Lead risk assessments and security reviews of AI applications, AI-enabled products, and agentic solutions.
- Review risks involving data exposure, excessive privilege, insecure integrations, unsafe outputs, prompt abuse, and runtime behavior.
- Conduct baseline security reviews across code, cloud, networking, APIs, identity, and application architecture.
- Identify systemic control gaps, recommend remediation, influence security roadmaps, and provide executive-ready technical guidance.
Requirements
- 7+ years of experience in cybersecurity, with a focus on network security, application security, and risk assessment.
- Expertise in hybrid on-premises and cloud security architectures, including AWS, Azure, or GCP.
- Experience defining enterprise security strategy, standards, architectural patterns, and scalable guardrails.
- Demonstrated expertise assessing AI applications, model-integrated services, agentic workflows, data handling patterns, and AI-specific attack paths.
- Ability to review code, cloud, networking, APIs, identity, and application architecture, and translate findings into prioritized recommendations.
- Excellent communication, technical leadership, judgment, and ability to operate in ambiguous environments; large-scale or regulated-environment experience is preferred.
Culture & Benefits
- Competitive healthcare and voluntary benefit programs.
- Fitness, mindfulness, and mental health resources.
- Family-building support, including fertility, adoption, and surrogacy benefits.
- Paid time off, bank holidays, volunteer days, sabbatical, global recharge days, and discretionary year-end shutdown.
- Savings and investment programs, plus location-specific benefits.
- In-person collaboration supported through a 70/30 in-office model.
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