Cyber AI Deployment Engineer (Cybersecurity)

TL;DR

Cyber AI Deployment Engineer (Cybersecurity): Partner with customers to apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases with an accent on safe deployment patterns, evaluation methods, and security constraints. Focus on designing and validating AI-enabled workflows across AppSec, SOC/IR, detection engineering, cloud security, and GRC automation while translating CISO-level outcomes into practitioner-level implementations.

Location: San Francisco HQ

Salary: $234K–$260K + Offers Equity

Company

OpenAI is an AI research and deployment company focused on safely deploying general-purpose AI.

What you will do

• Serve as technical lead for AI-enabled cybersecurity workflows, embedding with strategic customers across executive and practitioner audiences.
• Lead discovery across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, identity, and GRC automation use cases.
• Build and deliver customer-facing demos, prototypes, workshops, proofs of concept, and reference architectures using OpenAI APIs, Codex, agents, scripts/CLIs, GitHub workflows, CI/CD, and security tooling.
• Scope pilots with success criteria, data requirements, workflow integrations, evaluation methods, safety boundaries, and human approval points.
• Advise on safe implementation patterns including tool/function calling, structured outputs, retrieval, sandboxing, data handling, guardrails, telemetry, auditability, and approval-gated side effects.
• Validate and synthesize high-signal feedback to Product, Engineering, Research, Security, and GTM based on recurring requirements, blockers, and emerging cyber workflows.

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 one or more areas such as application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, threat intelligence, red teaming, or security architecture.
• Ability to communicate credibly with CISOs, CTOs, security executives, engineering leaders, and highly technical security practitioners.
• Hands-on experience building prototypes or production systems with APIs and at least one of: Python or JavaScript, plus agents/scripts/CLIs, GitHub workflows, CI/CD, logs, tickets, and scanners.
• Experience designing AI workflows with retrieval, structured outputs, tool use, evals, guardrails, telemetry, sandboxing, and human-in-the-loop review.
• Evidence-first security judgment: validate findings, separate true positives from noise, document assumptions, and avoid overstating model/security claims.

Culture & Benefits

• Customer-facing technical role focused on safe, measurable security outcomes.
• Relocation support for new employees.
• Compensation includes $234K–$260K plus offers equity.
• Collaboration across Sales, Solutions Engineering, Product, Engineering, Research, and Security.