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Global AI Security Architect

Global AI Security Architect

Iberdrola
Iberdrola
Madrid, SpainOn-siteCompetitiveSeniorPermanent
🇬🇧 English RequiredAi-securityLlmThreat-modelingOwasp-llmMitre-atlasCloud-securityDevsecopsAWSAdded today

This job was originally posted in Spanish and automatically translated to English.

Requirements

Education
University degree in Computer Science or scientific-technical fields.
Advanced training in Artificial Intelligence, cybersecurity, or related disciplines.
Essential Technical Knowledge
Solid experience in security architecture, control design, and cybersecurity frameworks in enterprise environments.
Practical knowledge of AI/ML/LLM security, including OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, CSA, ENISA, and ISO/IEC 42001.
Real experience in threat modeling and AI risk analysis, with technical understanding of threats such as prompt injection, data poisoning, model extraction, model inversion, jailbreaks, and supply chain attacks.
Ability to compare market AI Security and enterprise cybersecurity solutions, including runtime protection, LLM firewalls, guardrails, AI-SPM, model protection, CI/CD security, and threat monitoring.
Broad knowledge of cybersecurity: IAM, cloud security, network security, application security, data security, DevSecOps, and vulnerability management.
Familiarity with cloud and enterprise AI platforms, including AWS, Azure, AWS Bedrock, Microsoft Foundry, or other equivalent technologies.
Experience with enterprise and specialized AI Security solutions is valued, such as CrowdStrike, Palo Alto, Zscaler, Cisco, Checkmarx, Zenity, Noma Security, HiddenLayer, Prompt Security, Aim Security, Pillar Security, Lakera, Knostic, Mindgard AI, or Alice.
Management Knowledge
Skills to lead and coordinate multidisciplinary and globally distributed teams.
Competencies in negotiation, effective communication, conflict management, innovation, and agile decision-making.
Experience in vendor and procurement management.
Soft Skills
High technological curiosity and judgment to explore new solutions rigorously.
Ability to communicate technical concepts clearly to both technical and non-technical profiles.
Proactivity, critical thinking, and orientation toward actionable decisions.
Organization, self-management, and ability to solve complex problems.
Adaptability to change and ability to prioritize in dynamic environments.
Empathy, motivation, and ability to drive global transformations.
Languages
Fluent English (B2-C1) to lead international projects.

Benefits

Be part of a global, diverse, and innovative company.
Participate in strategic projects with direct impact on the Group's accounts.
Collaborative environment with multidisciplinary teams across different geographies.
Professional development plans and continuous training.

Job Description

Are you passionate about cybersecurity applied to Artificial Intelligence? Are you motivated by anticipating new threats, defining technical controls, and building secure-by-design AI architectures in a global enterprise environment?

At Iberdrola, we are looking to strengthen our AI Center with a senior AI Security profile that combines solid experience in cybersecurity, threat modeling, cloud architecture, and practical knowledge of the specific risks associated with GenAI, LLMs, and agentic systems.

What will you do?

You will be part of the team responsible for defining and evolving the security architecture for the Group's Artificial Intelligence solutions. Your focus will be on establishing standards, requirements, controls, and reference patterns that enable the secure, governed deployment of AI use cases, aligned with corporate cybersecurity frameworks.

Functions and Responsibilities:

AI Security Standards, Baselines, and Requirements

  • Define specific security standards, baselines, and requirements for AI, ML, LLM, and agentic system solutions.

  • Align controls with frameworks such as OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, CSA, ENISA, and ISO/IEC 42001.

  • Translate technical risks into clear requirements for use cases, platforms, pipelines, and providers.

  • Establish secure configuration criteria for models, tools, integrations, and inference environments.

Threat Modeling, Gap Analysis, and Control Validation

  • Conduct threat modeling, gap analysis, and risk analysis for AI solutions, including methodologies such as CSA MAESTRO, TARA-AI, and MITRE ATLAS.

  • Evaluate threats such as prompt injection, jailbreaks, data poisoning, model extraction, model inversion, information leakage, and agent tool abuse.

  • Prioritize mitigations considering impact, exposure, use case criticality, control maturity, and emerging risks.

  • Drive security reviews, adversarial testing, AI red teaming, and continuous validation of mitigations.

AI Security Architecture and Solution Evaluation

  • Design secure architecture patterns for GenAI, LLM, agent, model, integration, and enterprise AI platform solutions.

  • Define how security controls should be integrated into the AI lifecycle, from design and development to deployment, operation, and monitoring.

  • Evaluate market AI Security and enterprise cybersecurity solutions, identifying relevant capabilities for runtime protection, guardrails, LLM firewalls, AI-SPM, model security, and threat monitoring.

  • Recommend the adoption and integration of solutions such as CrowdStrike, Palo Alto, Zscaler, Cisco, or other specialized providers when they add value to the corporate security model.

Governance, Enablement, and Multidisciplinary Coordination

  • Support platform, architecture, cybersecurity, and business teams in applying AI Security controls in a practical and consistent manner.

  • Define guides, reusable patterns, and decision criteria for use cases, agents, applications, models, and corporate platforms.

  • Coordinate AI Security initiatives with internal teams and external providers, ensuring technical, functional, and operational alignment.

  • Ensure traceability of decisions, AI security governance, and continuous evolution of controls, procedures, and roadmap.

What are we looking for?

Education

  • University degree in Computer Science or scientific-technical fields.

  • Advanced training in Artificial Intelligence, cybersecurity, or related disciplines.

Essential Technical Knowledge

  • Solid experience in security architecture, control design, and cybersecurity frameworks in enterprise environments.

  • Practical knowledge of AI/ML/LLM security, including OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, CSA, ENISA, and ISO/IEC 42001.

  • Real experience in threat modeling and AI risk analysis, with technical understanding of threats such as prompt injection, data poisoning, model extraction, model inversion, jailbreaks, and supply chain attacks.

  • Ability to compare market AI Security and enterprise cybersecurity solutions, including runtime protection, LLM firewalls, guardrails, AI-SPM, model protection, CI/CD security, and threat monitoring.

  • Broad knowledge of cybersecurity: IAM, cloud security, network security, application security, data security, DevSecOps, and vulnerability management.

  • Familiarity with cloud and enterprise AI platforms, including AWS, Azure, AWS Bedrock, Microsoft Foundry, or other equivalent technologies.

  • Experience with enterprise and specialized AI Security solutions is valued, such as CrowdStrike, Palo Alto, Zscaler, Cisco, Checkmarx, Zenity, Noma Security, HiddenLayer, Prompt Security, Aim Security, Pillar Security, Lakera, Knostic, Mindgard AI, or Alice.

Management Knowledge

  • Skills to lead and coordinate multidisciplinary and globally distributed teams.

  • Competencies in negotiation, effective communication, conflict management, innovation, and agile decision-making.

  • Experience in vendor and procurement management.

Soft Skills

  • High technological curiosity and judgment to explore new solutions rigorously.

  • Ability to communicate technical concepts clearly to both technical and non-technical profiles.

  • Proactivity, critical thinking, and orientation toward actionable decisions.

  • Organization, self-management, and ability to solve complex problems.

  • Adaptability to change and ability to prioritize in dynamic environments.

  • Empathy, motivation, and ability to drive global transformations.

Languages

  • Fluent English (B2-C1) to lead international projects.

What do we offer?

  • Be part of a global, diverse, and innovative company.

  • Participate in strategic projects with direct impact on the Group's accounts.

  • Collaborative environment with multidisciplinary teams across different geographies.

  • Professional development plans and continuous training.

Our selection process:

At Iberdrola, diversity, equity, and inclusion are essential aspects of our daily work. We are proud to be a company where there is equality of opportunity and where all people are welcome, valued, and respected regardless of sex, disability, race, religion, sexual orientation, age, marital status, nationality, or gender identity.

Publication end date:

07-08-2026

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