Applied AI Engineer, Cyber

OpenAI
Singapore
Workplace: HybridFull timeFunction: CybersecuritySkills: ["Communication","Problem-solving","Ownership","Adaptability","Evidence-first judgment"]

Partner with strategic customers to deploy OpenAI technologies for cybersecurity outcomes. Lead discovery across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, cloud security, identity, and GRC automation, then build customer-facing demos, prototypes, workshops, and proofs of concept. Scope pilots with clear success criteria, evaluation methods, and safety constraints, and advise on guardrails, telemetry, auditability, and human-in-the-loop review while translating CISO-level goals into implementable workflows.

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FursaFursa
OpenAI
OpenAI
2 months ago

Applied AI Engineer, Cyber

āœ“ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Partner with strategic customers to deploy OpenAI technologies for cybersecurity outcomes. Lead discovery across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, cloud security, identity, and GRC automation, then build customer-facing demos, prototypes, workshops, and proofs of concept. Scope pilots with clear success criteria, evaluation methods, and safety constraints, and advise on guardrails, telemetry, auditability, and human-in-the-loop review while translating CISO-level goals into implementable workflows.
Location: Singapore
Workplace: Hybrid
Employment Type: Full time
Job Function: Cybersecurity
Seniority: Mid level

Key Responsibilities

  • •Embed with strategic customers as the technical lead for AI-enabled cybersecurity workflows, partnering with both security executives and 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 and security tooling.
  • •Scope pilots with clear 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 gated side effects.

Pay and Benefits

Perks:Relocation

Key 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 areas such as application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, threat intelligence, red teaming, or security architecture.
  • •Credible communication with CISOs, CTOs, security executives, engineering leaders, and technical security practitioners.
  • •Hands-on experience building prototypes or production systems using APIs, Python or JavaScript, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, and scanners.
  • •Ability to design AI workflows with retrieval, structured outputs, tool use, evals, guardrails, telemetry, sandboxing, and human-in-the-loop review.
Experience:CybersecurityAppSecDevSecOpsSOC/IRDetection engineeringCloud securityGRC automation
Skills:CommunicationProblem-solvingOwnershipAdaptabilityEvidence-first judgment
Tech Stack:OpenAI APIsCodexAgentic workflowsAgentsPythonJavaScriptScriptsCLIsGitHub workflowsCI/CDLogsTicketsScannersRetrievalStructured outputsTool/function callingSandboxingTelemetryGuardrailsHuman-in-the-loop

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALLĀ·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
WebsiteLinkedInGlassdoor