AI and Cloud Security Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI and Cloud Security Engineer based in Spain. We are seeking a highly skilled security engineer to design, implement, and operate advanced security controls across AI platforms and multi-cloud environments.This role focuses on protecting emerging AI technologies by building runtime security capabilities, improving threat detection, and strengthening cloud security architectures.You will play a key role in securing AI applications, infrastructure, and data while helping organizations adopt AI safely at scale.The position combines hands-on engineering, automation, incident response, and strategic security initiatives across Azure, AWS, and GCP environments.You will collaborate with security leaders, architects, developers, and operations teams in a globally distributed environment.This is an opportunity for a security professional passionate about AI innovation, cloud protection, and building next-generation cybersecurity solutions. \nAccountabilities: Design, build, and operate AI security runtime controls, including AI gateways, data protection mechanisms, intent-based enforcement, and security monitoring capabilities across AI platforms. Develop and maintain security solutions protecting AI interactions, large language models, agent workflows, tools, and model-based applications across multiple cloud environments. Configure and optimize AI security policies, including prompt injection prevention, jailbreak protection, PII detection, data masking, tool validation, and agent access controls. Continuously improve security defenses by analyzing adversarial testing results, updating detection logic, and tuning runtime policies to reduce risks while maintaining usability. Act as a senior escalation point for complex AI security incidents, including prompt injection attacks, data exfiltration, agent manipulation, RAG poisoning, and model-related threats. Perform advanced investigations, root-cause analysis, and security response activities while supporting automated containment strategies. Evaluate and integrate AI security technologies through technical assessments, proofs of concept, and vendor evaluations. Engineer and maintain cloud security controls across Azure, AWS, and GCP, including security posture management, identity controls, Kubernetes security, and workload protection. Implement secure cloud architectures following zero-trust principles, least-privilege access models, and strong identity governance practices. Embed security into DevSecOps processes through Infrastructure-as-Code scanning, container security, secrets management, CI/CD security controls, and automated testing. Support vulnerability management activities across cloud workloads, containers, and applications while providing technical guidance for risk remediation. Requirements: Significant hands-on experience in cybersecurity engineering, with strong expertise in cloud security across Azure, AWS, and/or GCP environments. Proven experience securing or operating AI, machine learning, or LLM-based systems, with strong understanding of emerging AI security risks. Deep knowledge of AI security concepts, including LLM and agent security threats, prompt injection defenses, RAG security, AI guardrails, MCP security, AI-SPM, AIDR, and AI red-team methodologies. Experience integrating enterprise security platforms, including API integrations, log ingestion, SIEM/SOAR connections, and multi-tool security architectures. Strong knowledge of cloud security practices, including CSPM/CWPP/CNAPP solutions, cloud identity management, Kubernetes security, containers, and secure architecture patterns. Proficiency in Python, PowerShell, KQL, Infrastructure-as-Code security, Terraform, and CI/CD security automation. Experience operating security solutions in complex enterprise environments and acting as a senior escalation point for security incidents. Familiarity with DevSecOps practices, vulnerability management, and secure software delivery processes. Strong understanding of zero-trust principles, identity governance, privileged access management, and secure AI platform integrations. Excellent communication skills with the ability to explain complex security concepts and trade-offs to technical teams and leadership. Ability to work effectively in a fast-paced, global, and collaborative environment. Bachelor’s degree in Computer Science, Cybersecurity, Information Systems, or equivalent practical experience. Relevant certifications such as CISSP, CCSP, SC-100, AZ-500, AWS Certified Security Specialty, Google Professional Cloud Security Engineer, or AI security certifications are advantageous. Benefits: Flexible remote work environment with opportunities to collaborate with global security teams. Competitive benefits package tailored to local market and personal needs. Professional development opportunities through leaders