Senior Cybersecurity Architect

BoehringerPRD; Barcelona; On-site; EUR 90,000 - 130,000; Full time

Job summary

BoehringerPRD is seeking a Senior Cybersecurity Architect to embed security into enterprise platforms and AI-enabled solutions. You will collaborate with enterprise and product teams to influence design decisions across the solution lifecycle, with a focus on AI security and secure retrieval, data protection and model security.

The role requires strong cloud knowledge, architecture governance, and excellent English communication.

Qualifications

• Degree in computer science, information security, engineering, or related discipline.
• Experience with security architecture reviews and threat modelling for enterprise solutions.
• Experience with modern cloud and application architectures, including IAM, APIs, data protection.
• Interest in AI security areas such as generative or agentic AI and AI threat modelling.
• Strong analytical, interpersonal and communication skills; professional English proficiency.

Responsibilities

• Lead security architecture reviews and threat modelling for critical enterprise platforms, applications, cloud services, integrations and AI solutions.
• Identify technical risks and define security requirements involving identities, data, trust boundaries and privileged capabilities.
• Drive the review and approval of security architecture decisions and design changes for critical solutions.
• Translate recurring findings into improved architecture processes, standards and reusable guardrails.
• Collaborate with enterprise architecture, engineering, platform and cybersecurity teams to guide secure designs.

Skills

Security architecture

Threat modelling

Cloud security

English proficiency

Education

Bachelor’s degree in computer science, information security, engineering or related discipline

Job description

Manager job title: Head of IT INF Cyber Detection Area - Department: IT Infrastructure Deadline for internal application: 06/11/26

Senior Cybersecurity Architect

Join our global cybersecurity organization and help embed security into critical enterprise solutions, platforms, applications and emerging technologies. You will work closely with enterprise and solution architects, engineers, product teams and cybersecurity specialists to influence important design decisions throughout the solution lifecycle. Artificial intelligence security, including generative and agentic AI, will be an important focus of your work.

Tasks and responsibilities

• Lead security architecture reviews and threat modelling for critical enterprise platforms, applications, cloud services, integrations and artificial intelligence solutions.
• Identify technical risks and define special security requirements involving identities, data, trust boundaries, privileged capabilities and connected services.
• Drive the review and approval of security architecture decisions, as-built designs and material architecture changes for critical solutions.
• Turn recurring findings and root causes into improved architecture processes, standards, reference designs and reusable security guardrails.
• Work closely with enterprise architecture, engineering, platform and cybersecurity teams to guide secure designs, communicate residual risks and help teams achieve secure outcomes.

Requirements

• A degree in computer science, information security, engineering or a related discipline, or equivalent professional experience.
• Comprehensive experience in security architecture or a closely related area, including security reviews, threat modelling and architecture decision-making for complex enterprise solutions.
• Experience with modern cloud and application architectures, including identity and access management, application programming interfaces, data protection, workload identities, containers and software-delivery pipelines.
• Interest in and willingness to develop expertise in artificial intelligence security areas such as generative or agentic AI, AI threat modelling, secure retrieval, agent identity, prompt-injection protection, data security, model security or AI monitoring. Prior experience is welcome but not required, as this capability is expected to become an important part of the role.
• Strong analytical, interpersonal and communication skills, professional proficiency in English, and the ability to challenge constructively and influence decisions across global teams.

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