AI Architect (AI for Security)

About the Position

AI Architect (AI for Security)

Neurons Lab is seeking an experienced AI Architect (AI for Security) to join our team in Madrid or Valencia, Spain. This role involves hands-on engagement with a regulated iGaming/online-gaming group, focusing on advanced AI-driven security initiatives.

About the Project

This is not a generalist AI project. Neurons Lab brings the AI architecture and engagement depth; what's missing is the offensive-security domain lead who can challenge and improve the client's existing AI-driven security capabilities. You will be that expert, working closely with the client's CISO team to pressure-test their pipeline and own the methodology.

Stage: Pre-engagement/discovery

Duration: Discovery → advisory/PoC, with potential for extension as the security program scales.

Responsibilities

• Join joint working sessions with the client's security engineers to challenge and harden their AI-driven offensive pipeline.
• Design and refine the exploitation agent, including how the LLM plans attack paths and orchestrates parallel sandboxes.
• Optimize the cost-per-finding of the existing exploitation pipeline by benchmarking local/sovereign open models against frontier models.
• Shape the runtime anomaly-detection layer, defining precursor patterns and designing automated response and triage routing.
• Stand up a quick-win PoC to anchor the engagement.
• Turn findings into a defensible technical proposal and roadmap, presenting methodology and trade-offs to a technical CISO/CTO audience.
• Ensure all sensitive work is build-time and in-perimeter, respecting regulated-gaming certification constraints.

Requirements

• Hands-on offensive security: Vulnerability research, exploit development and chaining, web + network penetration testing.
• Building and operating LLM agents for security work: Agentic tool-use, sandbox orchestration, prompt/flow design for recon and exploitation.
• Local/self-hosted open models: Running and tuning open weights on rented or private GPU.
• Exploit & threat intelligence: Sourcing and validating exploits, CVE triage, exploitability and severity assessment.
• Runtime detection: Designing intrusion/privilege-escalation pattern detection, anomaly detection, and automated response.
• Cloud security (AWS preferred): Sandboxing, container isolation, secure inference hosting.
• Writes their own code (Python + shell) and can explain methodology to non-security executives.

Nice to Have

• Modern offensive-security methodology and the current exploit/zero-day landscape.
• Strengths and limits of frontier vs. local LLMs for security automation.
• Data-egress/sovereignty constraints: Why IP and recon-enabling data must stay in-perimeter.
• iGaming/regulated-infrastructure context and certification constraints.
• Defensive side: SIEM, anomaly detection, incident response.

Experience

• 3+ years hands-on offensive security/vulnerability research/red-team.
• Demonstrable exploit development and chaining; comfortable with zero-day research and exploit intelligence.
• Has wired LLMs into real security workflows (recon, exploitation, triage).
• Has run self-hosted/local open models in a real engagement, with a view on cost and hardware.
• Comfortable being the sole domain expert in the room and owning the methodology.

We Offer

• Opportunity to work with a leading AI company on cutting-edge security projects.
• Collaborative and innovative work environment.
• Potential for career growth and professional development.

About the Company

Neurons Lab is a forward-thinking AI company dedicated to pushing the boundaries of AI technology. We are committed to delivering innovative solutions and fostering a culture of excellence and continuous learning.