Applied AI Engineer, Cyber

About the role

The Applied AI Engineering team helps developers and enterprises safely and effectively deploy OpenAI technologies in production, acting as trusted technical advisors. This Applied AI Engineer, Cyber role partners with customers to apply OpenAI models, APIs, Codex and agentic workflows to real cybersecurity use cases, working with CISOs, security executives, SOC teams and security engineers. It is a customer-facing technical role based in the Singapore office, with relocation support offered to new employees.

Key responsibilities

• Embed with strategic customers as technical lead for AI-enabled cybersecurity workflows, advising security executives and practitioners on safe implementation patterns.
• Lead discovery across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, identity and GRC automation.
• Build demos, prototypes, workshops, PoCs and reference architectures using OpenAI APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD systems and security tools.
• Scope pilots with success criteria, data requirements, workflow integrations, evaluation methods, security constraints and safety boundaries.
• Advise on tool and function calling, structured outputs, retrieval, sandboxing, data handling, guardrails, telemetry and auditability.
• Create reusable field assets such as demo narratives, playbooks, FAQs, qualification guides and assessment templates.
• Deliver feedback to Product, Engineering, Research, Security and GTM teams on customer needs, blockers and product gaps.

Required profile

• 5+ years of technical consulting, solutions engineering, security architecture, cyber advisory, deployment engineering or professional services.
• Cybersecurity expertise in areas such as AppSec, cloud security, identity, vulnerability management, incident response, detection engineering, red teaming or security architecture.
• Ability to communicate with CISOs, CTOs and highly technical security practitioners.
• Evidence-based security judgment and ability to own problems end-to-end across multiple concurrent projects.

Required skills

• Hands-on prototyping with APIs, Python or JavaScript, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets and scanners.
• Design of AI workflows with retrieval, structured outputs, tool use, evals, guardrails, telemetry, sandboxing and human-in-the-loop review.