Security AI Architect — Offensive-Security Lead

NeuronsLab; United States; Remote; USD 180,000 - 280,000; Full time

Job summary

NeuronsLab is seeking an AI Architect (AI for Security) to lead offensive-security engagements for a regulated iGaming group. You will own the security methodology, harden the AI-driven exploitation pipeline, and work closely with the client CISO to craft a defensible technical roadmap.

The role focuses on hands-on security, agent-based automation, and cost-aware evaluation of open vs frontier models, with strict perimeter constraints and certified environments.

Qualifications

• Hands-on offensive security expertise with vulnerability research and red-team work.
• Experience building or operating AI/LLM-driven security automation (agents, pipelines).
• Cloud security experience, preferably AWS, and secure inference hosting.
• Ability to explain complex security concepts to non-security stakeholders.

Responsibilities

• Join sessions with client security engineers to harden AI-driven offensive pipeline end-to-end.
• Design and refine the exploitation agent: plan paths, validate exploits, orchestrate sandboxes.
• Benchmark open models vs frontier models for recon, exploitation, and analysis, evaluating costs and latency.
• Shape the runtime anomaly-detection layer and automated response workflows.
• Stand up a quick-win PoC and translate findings into a technical proposal for the CISO/CTO.
• Keep sensitive work within perimeter, respecting certification constraints.

Skills

Offensive security

Agent-based security

Open models

Exploit development

Python

Cloud security AWS

Red-team

Tools

Nmap

Nuclei

Katana

Acunetix

Metasploit

Burp Suite

Kali Linux

Job description

NeuronsLab is seeking an AI Architect (AI for Security) to lead offensive-security engagements for a regulated iGaming group. You will own the security methodology, harden the AI-driven exploitation pipeline, and work closely with the client CISO to craft a defensible technical roadmap.

The role focuses on hands-on security, agent-based automation, and cost-aware evaluation of open vs frontier models, with strict perimeter constraints and certified environments.