Applied AI Architect, Cyber

vibehackers; Vancouver; On-site; CAD 120,000 - 180,000; Full time

Job summary

vibehackers is seeking a Cybersecurity Applied AI Architect to design, prototype, and deploy AI-enabled security workflows for customers using OpenAI models, Codex, and agent tooling.

You will engage with CISOs and security teams to translate executive outcomes into practical security architectures, delivering durable, production-ready integrations. This role blends strategy with hands-on design.

Qualifications

• 5+ years of customer-facing tech experience.
• Strong cybersecurity domain expertise in application/cloud security.
• Experience designing AI workflows with retrieval, structured outputs, and guardrails.
• Ability to scope pilots with success metrics and data requirements.
• Excellent communication with CISOs and security leaders.
• Evidence-first security judgment across multiple projects.

Responsibilities

• Serve as technical lead embedded with strategic customers for AI-enabled cybersecurity workflows.
• Lead discovery across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, identity, and GRC automation.
• Build and deliver demos, prototypes, workshops, proofs-of-concept, and reference architectures using OpenAI APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD, logs, tickets, scanners, and common security tools.
• Scope pilots with clear success criteria, data requirements, workflow integrations, evaluation methods, and security constraints.
• Advise on safe implementation patterns: tool/function calling, structured outputs, retrieval, sandboxing, data handling, guardrails, telemetry, auditability, and human approval points.
• Translate between executive outcomes and practitioner-level implementation details; create reusable field assets (playbooks, FAQs, assessment templates, demo narratives).
• Provide high-signal product and field feedback to Product, Engineering, Research, Security, and GTM teams.

Skills

5+ years exp

Technical consulting

Security architecture

Client-facing

AI workflows

OpenAI APIs

Retrieval design

Cross-functional teams

Tools

GitHub workflows

CI/CD pipelines

Security scanners

Job description

Directly builds AI-enabled security workflows with OpenAI APIs, Codex, and agents—hands-on prototyping and deployment with model and agent tooling.

About the Role

OpenAI is hiring a Cybersecurity Applied AI Architect to partner with customers and help design, prototype, and deploy AI-enabled security workflows using OpenAI models, APIs, Codex, and agentic tooling. The role is customer-facing and combines executive-level strategy with hands-on solution design to deliver secure, production-ready AI integrations for security teams.

Job Description

Role

The Cybersecurity Applied AI Architect partners with customers to apply OpenAI models, APIs, Codex, and agent workflows to real-world cybersecurity use cases. You will work with CISOs, security executives, SOC teams, security engineering, and practitioners to identify high-value use cases, design practical architectures, and move from prototype to durable, safe deployment.

Key Responsibilities

• Serve as the technical lead embedded with strategic customers for AI-enabled cybersecurity workflows.
• Lead discovery across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, identity, and GRC automation.
• Build and deliver demos, prototypes, workshops, proofs-of-concept, and reference architectures using OpenAI APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD, logs, tickets, scanners, and common security tools.
• Scope pilots with clear success criteria, data requirements, workflow integrations, evaluation methods, and security constraints.
• Advise on safe implementation patterns: tool/function calling, structured outputs, retrieval, sandboxing, data handling, guardrails, telemetry, auditability, and human approval points.
• Translate between executive outcomes and practitioner-level implementation details; create reusable field assets (playbooks, FAQs, assessment templates, demo narratives).
• Provide high-signal product and field feedback to Product, Engineering, Research, Security, and GTM teams.

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 one or more areas such as application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, threat intelligence, red teaming, or security architecture.
• Knowledge of designing AI workflows with retrieval, structured outputs, tool use, evals, guardrails, telemetry, sandboxing, and human-in-the-loop review.
• Ability to scope pilots from ambiguous customer pain, define success metrics, required data, integrations, evaluation criteria, and deployment assumptions.
• Strong communication skills for engaging CISOs, CTOs, security executives, engineering leaders, and technical practitioners.
• Evidence-first security judgment and ability to operate end-to-end across multiple concurrent customer projects.

Work closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable assets, and product feedback.

Skills

Technical Consulting Solution Design Security Architecture Customer-facing Communication Prototyping Systems Integration Threat Modeling Incident Response Pilot Scoping Cross-functional Collaboration Risk Assessment Product Feedback