AI Security Architecture, Vice President

Technologies we use

About the project

Your responsibilities

• Contribute to the design and implementation of secure architecture patterns for AI/ML and Generative AI systems, including data pipelines, model access, and AI-enabled applications.
• Support the development and documentation of AI security standards, reference architectures, and guardrails.
• Participate in architecture and design reviews for AI-related initiatives, providing security guidance under senior architect direction.
• Partner with engineering teams to ensure security requirements are considered early in solution design.
• Perform AI-focused threat modeling for AI services, models, and data flows.
• Identify security risks such as data leakage, prompt injection, insecure model access, OSS vulnerabilities, and misuse scenarios.
• Work with senior architects and security partners to recommend appropriate mitigations and compensating controls.
• Support integration of AI security controls into software development and DevSecOps workflows.
• Assist in defining security requirements and validation checks for AI pipelines and platforms.
• Help develop repeatable patterns and templates that enable teams to adopt AI securely with less friction.
• Assist with security reviews for emerging AI capabilities, including GenAI tools, internal AI services, and developer productivity use cases.
• Stay informed on AI security trends, tooling, and common risk patterns through research and internal knowledge sharing.
• Contribute ideas and observations on improving AI security practices across the organization.
• Ensure AI security designs align with internal policies and external standards (e.g., NIST, ISO, FFIEC concepts).
• Support audit, risk, and compliance efforts by helping document architecture decisions and controls.

Our requirements

• Participate in post-incident reviews and action tracking for AI-related security events.
• Work closely with security engineering, product security, platform, and data teams to resolve AI security concerns.
• Communicate technical risks and recommendations clearly to engineering audiences.
• Escalate complex or high-risk issues to senior architects with supporting analysis and options.
• Bachelor’s degree in Computer Science, Information Security, Engineering, or a related field.
• Relevant security or cloud certifications are a plus.
• 5–7 years of experience in application security, product security, cloud security, or security engineering roles.
• Experience securing cloud-native applications or platforms in an enterprise environment.
• Exposure to AI/ML or data-driven systems, including model usage, APIs, or analytics platforms.
• Familiarity with secure software development practices and DevSecOps concepts.
• Experience working in or with regulated environments preferred.
• Solid technical fundamentals in security architecture and secure design.
• Curiosity and willingness to learn in a rapidly evolving AI security landscape.
• Ability to break down risks and communicate them clearly to engineers.
• Collaborative, execution-focused mindset.
• Comfortable working with guidance while progressively taking on more responsibility.

What we offer

• Permanent contract from day one​
• Additional holidays (Birthday Day Off, 3rd and 5th year anniversary Day Off)​
• Gold Medical Package for employees and their families (partner and children)​
• Premium life insurance package and private pension plan​
• Wide range of soft skills training, technical workshops, language classes and development programs​
• Opportunities to volunteer your time to company-driven initiatives, employee networks or organizations of your choice​
• Variety of well-being programs​
• Additional benefits available depending on the seniority of the role

Benefits

Minimum Salary:​ zł282,000 Annual