AI Security Solution Architect, hibrido

AI Security Solution Architect Perfil buscado Design and maintain security architectures for AI/ML systems, including model training environments, data pipelines, MLOps workflows, and inference endpoints. Provide architectural guidance on securing AI/ML platforms, cloud-based AI services, and Generative AI deployments. Define and maintain AI security policies, model risk standards, and security baselines aligned with relevant governance and compliance frameworks. Support AI risk assessments, deployment approval processes, and risk acceptance workflows. Establish and monitor AI security KPIs and KRIs, providing reporting and recommendations to senior stakeholders. Participate in architecture review processes and act as a trusted advisor to AI and data engineering teams. Assess and mitigate AI-specific threats including prompt injection, model inversion, data poisoning, adversarial attacks, and supply chain risks. Lead AI Security architecture for enterprise AI and GenAI solutions. Hybrid

model, global exposure and strong career development Degree in Information Security, Computer Science, Engineering, or a related technical discipline. Minimum 5 years of experience in AI Security Architecture or Security Engineering within enterprise environments. Hands-on experience securing AI/ML systems, MLOps environments, and data pipelines. Strong understanding of AI-specific attack vectors and threat scenarios. Experience securing AI/ML platforms and cloud AI services. Knowledge of Large Language Model (LLM) and Generative AI security controls and architectures. Familiarity with AI governance, risk, and compliance frameworks. Solid background in API security, IAM, data security, vulnerability management, and related security domains. Fluent English communication skills. Strong interest in Information Technology and Generative AI. International company based in Barcelona Hybrid working model with the possibility to work remotely and spend up to 25 days per year working from abroad.

Competitive compensation package including bonus, pension scheme, employee share program, and additional employee benefits. Ongoing learning, professional development, and international career mobility opportunities. Flexible working arrangements and wellbeing initiatives, including healthcare and family-related benefits. AI/ML, MLOps, Generative AI, GenAI, LLM, API