The AI Deployment Engineering team helps developers and enterprises deploy OpenAI technologies 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 agentic workflows to cybersecurity workflows such as secure code review, vulnerability triage, threat modeling, SOC and incident response, detection engineering, cloud security, GRC automation, and security validation. Responsibilities include leading discovery of use cases, building demos and prototypes, scoping pilots, advising on safe implementation patterns, translating between executive and practitioner levels, creating reusable assets, and providing feedback to internal teams. Candidates should have 5+ years of relevant technical consulting or engineering experience, strong cybersecurity domain expertise, hands-on experience with APIs, Python or JavaScript, and security tooling, and the ability to communicate with executives and practitioners. The role is full-time, on-site in Singapore.
What you'll do
Embed deeply with strategic customers as the technical lead for AI-enabled cybersecurity workflows, serving as a trusted partner to security executives and technical practitioners
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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 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 to ensure understanding of value, risk, and practical next steps
Create reusable field assets such as demo narratives, playbooks, FAQs, objection handling, qualification guides, assessment templates, and competitive positioning
Validate, synthesize, and deliver 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 designing AI workflows with 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, and 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
