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Applied AI Engineer, Cyber

OpenAI· Go To Market
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Hybrid (Singapore)Full-timePosted 3mo ago

About the role

Customer-facing technical role focusing on applying OpenAI models, APIs, Codex, and agentic workflows to cybersecurity use cases. Partners with customers to design safe deployment patterns, demos, pilots, and reusable field assets, bridging executive strategy and hands-on implementation.

Responsibilities

  • Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflows, serving as a trusted partner to both security executives and technical practitioners.
  • 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 so each audience understands 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.

Qualifications

  • 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 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 security tooling.
  • Understanding of designing AI workflows with retrieval, structured outputs, tool use, evals, guardrails, telemetry, sandboxing, and human-in-the-loop review.
  • Experience scoping pilots from ambiguous customer pain, including success metrics, required data, workflow integrations, evaluation criteria, deployment assumptions, and decision gates.
  • Evidence-first security judgment: validating findings, filtering noise, documenting assumptions, and avoiding overstating model or security claims.
  • Ability to own problems end-to-end, operate with high throughput across multiple concurrent customer projects, and determine when to be hands-on versus create reusable leverage.

Skills

Required:AI-enabled cybersecurity workflowsCustomer discovery and stakeholder engagementPrototype and pilot deliverySecurity pattern guidance

Benefits

  • Relocation support to Singapore office.
  • Hybrid work arrangement.
Last updated Aug 27, 2026. Interested? Apply on the company site.

About OpenAI

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