AI Deployment Engineer, Cyber

📋 Description

• Deeply embed with strategic customers as the AI cybersecurity workflow lead.
• Lead discovery across AppSec, DevSecOps, vulnerability management, SOC/IR, cloud, and GRC.
• Build demos, prototypes, PoCs, and reference architectures using OpenAI APIs, Codex, and agents.
• Scope pilots with clear success criteria, data needs, and human approval points.
• Advise on safe AI implementations: tool calls, outputs, sandboxing, telemetry, audits.
• Translate CISO outcomes to practitioner-level details to show value and risk.

🎯 Requirements

• 5+ years of technical consulting, solutions engineering, security architecture, cyber advisory, deployment engineering, or equivalent.
• Strong cybersecurity domain expertise across AppSec, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, threat intel, red teaming, or security architecture.
• Able to communicate credibly with CISOs and security executives.
• Hands-on experience building prototypes or production systems with APIs, Python or JavaScript, agents, scripts, CLIs, GitHub workflows, CI/CD.
• Design AI workflows with retrieval, guardrails, telemetry, sandboxing, and human-in-the-loop review.
• Comfortable scoping pilots with metrics, data requirements, workflow integrations, and decision gates.

🎁 Benefits

• Relocation support for new hires.
• Hybrid/remote-friendly work options.
• Opportunity to work with OpenAI on cybersecurity and AI deployment.