AI Summary
Lead architect for a cognitive and autonomous security ecosystem, responsible for architecting a self-healing, intelligence-led security fabric. Ensures security acts as a fundamental business accelerator. Requires expertise in AI-security frameworks and recognized certifications.
Key Highlights
Cognitive Architectural Strategy & Enablement
Frontier AI Security & Model Orchestration
Autonomous Cross-Domain Resilience (IT/OT/AI)
Key Responsibilities
Defining and executing a Group-wide security architecture roadmap
Translating frontier AI threat intelligence into scalable, self-healing architectural patterns
Governing security technology investments with a focus on AI-driven ROI and architectural resilience
Architecting the cognitive convergence of IT, OT, and AI environments
Overseeing the deployment of 'Self-Healing' Zero Trust architectures
Technical Skills Required
Benefits & Perks
Employment contract
Hybrid or digital working model
Competitive compensation and comprehensive benefits package
Private medical care
Multisport subsidy
Lunch card
Life insurance
Cafeteria system
Company car or car allowance
Employee Pension Program (3.5% employer contribution)
Relocation package (if applicable)
Training and all necessary work tools
One additional day off per year
Job Description
The Head of Security Architecture serves as the enterprise’s lead architect for a cognitive and autonomous security ecosystem, bridging the gap between sophisticated industrial (OT) environments and frontier AI-driven innovation. This role is responsible for architecting a self-healing, intelligence-led security fabric that directly enables Polpharma’s business agility and digital growth. By institutionalizing "AI-Security-by-Design," the position ensures that security acts as a fundamental business accelerator. The role plays a pivotal part in the enterprise’s AI transition, orchestrating architectural guardrails for the secure, scalable consumption of agentic AI systems while maintaining uncompromising regulatory and operational integrity.
Key Responsibilities:
Cognitive Architectural Strategy & Enablement:
- Defining and executing a Group-wide security architecture roadmap that prioritizes autonomous defense and AI-native infrastructure
- Translating frontier AI threat intelligence into scalable, self-healing architectural patterns that eliminate technical debt and accelerate digital trust
- Governing security technology investments with a focus on AI-driven ROI and architectural resilience in a multi-cloud and edge-computing environment
- Architecting and implementing a "Security-for-AI" framework to protect the entire lifecycle of proprietary LLM/ML models, from training data lineage to adversarial defense
- Designing technical guardrails against model inversion, prompt injection, and algorithmic poisoning to ensure the reliability of autonomous pharmaceutical systems
- Serving as the principal authority on AI-to-AI security protocols, ensuring safe interaction between autonomous agentic systems and core business infrastructure
- Architecting the cognitive convergence of IT, OT, and AI environments, ensuring seamless and secure data flows across critical manufacturing and clinical assets.
- Overseeing the deployment of "Self-Healing" Zero Trust architectures that automatically adjust security postures based on real-time anomaly detection
- Championing "Policy-as-Code" and "Architecture-as-Code" (AaC) to ensure continuous compliance and rapid, automated remediation of architectural vulnerabilities
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- Chairing the Cognitive Architecture Review Board, resolving complex trade-offs between innovation speed, algorithmic transparency, and security risk
- Mentoring and developing a high-performing team of AI-Security architects, fostering a culture of technical rigor, continuous innovation, and cross-domain collaboration
- Driving enterprise-wide AI-literacy among technical stakeholders to ensure that "Security-by-Design" is an automated, non-intrusive feature of all digital projects
- Employment contract
- Work in a modern, international pharmaceutical environment
- Hybrid or digital working model
- Competitive compensation and comprehensive benefits package, including:
- private medical care,
- Multisport subsidy,
- lunch card,
- life insurance,
- cafeteria system,
- company car or car allowance
- Employee Pension Program (3.5% employer contribution),
- relocation package (if applicable),
- training and all necessary work tools,
- one additional day off per year.
- Strong focus on development and learning opportunities
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- Master’s degree in security architecture, AI/Machine Learning, or Computer Science
- Min.5 years of leadership in security architecture, with extensive experience in multi-cloud and OT/ICS environments
- Mastery of AI-security frameworks and recognized expert-level certifications (e.g., CISSP-ISSAP, TOGAF, or specialized AI-Security credentials)
- Exceptional ability to communicate the strategic value of autonomous security architecture to C-level and board stakeholders
- Fluent Polish and English
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