Applied AI Engineer, Cyber

Highlights

• Partner with CISOs and SOC teams to deploy AI for real security outcomes.
• Lead AI workflows for secure code review, threat modeling and incident response.
• Turn customer needs into safe deployment patterns and reusable field assets.

What they offer

• Equity
• Relocation support

Ideal candidate

Customer-obsessed security practitioner with 5+ years advising executives and builders who loves prototyping AI workflows and translating ambiguous cyber pain into safe, measurable deployments.

Requirements

• 5+ years of technical consulting, solutions engineering, security architecture, cyber advisory, deployment engineering, professional services, or equivalent customer-facing technical experience.
• 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, CTOs, security executives, engineering leaders, and technical practitioners.
• Hands-on experience building prototypes or production systems with APIs, Python or JavaScript, agents, scripts, CLIs, GitHub workflows, CI/CD, and security tooling.
• Understand AI workflow design with retrieval, structured outputs, tool use, evals, guardrails, telemetry, sandboxing, and human-in-the-loop review.
• Comfortable scoping pilots from ambiguous pain, including success metrics, data, integrations, evaluation criteria, and decision gates.
• Evidence-first security judgment, validating findings and avoiding overstated claims.
• Own problems end-to-end with high throughput across concurrent customer projects.