Overview
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As the senior technical owner, you will lead the AI security runtime control plane and enforcement fabric across a multi-cloud estate. You’ll implement inline AI traffic enforcement, tune policies for fast, low-friction security, and act as the escalation point for complex AI security incidents. You’ll drive a closed-loop defensive system that learns from red-team findings to evolve runtime policies and SOC threat models. You will collaborate with cross-functional teams to secure AI and cloud environments, applications, and infrastructure, shaping resilient security at scale.
Compensaciones / Incentivos
elective benefits tailored to country
career growth and professional development programs
well-being programs and Life Empowerment Assistance
diversity, equity & inclusion initiatives
onboarding program to connect with colleagues
participation in inclusive communities and volunteering initiatives
Responsabilidades
Build and own the AI runtime control plane and inline enforcement pipeline for AI traffic across Azure, AWS, GCP, Copilot Studio, and self-hosted environments
Harden gateway layers with buffering, overload management, rate limiting, and prompt-truncation to defend against token-exhaustion and denial-of-service attacks
Integrate AI asset context, telemetry, and continuous red-team signals into SIEM/SOC workflows for forensics and audit
Author and calibrate runtime policies (prompt-injection/jailbreak defense, PII redaction, data masking, tool-call validation, MCP access control)




Balance detection and hard-block modes per AI archetype to minimize false positives
Translate red-team findings into policy updates and new detections; validate with re-testing
Lead L3 escalation for AI security toolset, investigate AI-specific attacks, and drive automated containment
Evaluate and pilot AI security vendors and proofs-of-concept for runtime defense and model-security platforms
Design and maintain secure multi-cloud patterns and least-privilege access across humans, service principals, and agents
Embed security into DevSecOps with IaC scanning (Terraform), container/Kubernetes security, secrets management, and pre-deployment gates
Support cloud workload vulnerability management and act as escalation for investigations across cloud, identity, endpoint, and AI telemetry
Requisitos principales
Proven hands-on experience securing or operating AI/ML/LLM-based systems
Experience deploying, integrating, and xqbhyrx tuning security platforms in complex enterprise environments
Security tooling experience in Kubernetes (AKS/EKS) and integrating open-source components
Proficiency in KQL, PowerShell, Python, Terraform; CI/CD and IaC security
Strong understanding of CSPM/CWPP/CNAPP operations and cloud identity/entitlements
Excellent English communication and ability to document runbooks and integration guides
Bachelor in Computer Science or related field (equivalently demonstrated practical experience)
Strong written and verbal communication
Cross-functional collaboration
Analytical and problem-solving mindset
AI/GenAI security depth including prompt-injection/jailbreak defense and RAG security
LLM and agentic-AI threat modeling (OWASP LLM Top , MITRE ATLAS)
AI gateway and runtime enforcement technologies

📌 AI and Cloud Security Engineer (Barcelona)
🏢 TD Synnex
📍 Barcelona