The AI Deployment Engineering team helps developers and enterprises deploy OpenAI technologies safely and effectively in production, focusing on cybersecurity use cases. The Cyber AI Deployment Engineer will partner with customers including CISOs and security teams to apply OpenAI models, APIs, Codex, and workflows to cybersecurity challenges such as secure code review, vulnerability triage, threat modeling, SOC workflows, detection engineering, cloud security, and GRC automation. Responsibilities include leading technical engagements, building demos and prototypes, scoping pilots, advising on safe AI deployment patterns, translating between executive and practitioner needs, creating reusable assets, and providing product feedback. Candidates should have 5+ years of relevant technical consulting or engineering experience, strong cybersecurity domain expertise, hands-on experience with APIs, Python or JavaScript, CI/CD, and security tools, and strong communication skills. The role is full-time, on-site in San Francisco with relocation support.
What you'll do
Serve as technical lead for AI-enabled cybersecurity workflows embedded with strategic customers
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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 systems, logs, tickets, scanners, and common security tools
Scope pilots with clear success criteria, data requirements, workflow integrations, evaluation methods, security constraints, safety boundaries, and human approval points
Advise customers on safe implementation patterns including tool and function calling, structured outputs, retrieval, sandboxing, data handling, guardrails, telemetry, auditability, and approval-gated side effects
Translate between CISO-level outcomes and practitioner-level implementation details
Create reusable field assets such as demo narratives, playbooks, FAQs, objection handling, qualification guides, assessment templates, and competitive positioning
Provide high-signal feedback to Product, Engineering, Research, Security, and GTM teams based on recurring customer requirements, blockers, product gaps, 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 in 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, Python or JavaScript, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, or other common security tooling
Understanding of AI workflow design including retrieval, structured outputs, tool use, evals, guardrails, telemetry, sandboxing, and human-in-the-loop review
Comfortable scoping pilots from ambiguous customer pain including success metrics, required data, workflow integrations, evaluation criteria, deployment assumptions, and decision gates
Evidence-first security judgment: validate findings, separate true positives from noise, document assumptions, avoid overstating model or security claims
Ability to own problems end-to-end, operate with high throughput across multiple concurrent customer projects, and balance hands-on work with creating reusable leverage
Humble attitude, eagerness to help colleagues, and desire to ensure team and customer success
