AI Security Architect: Threat Detection & Automation (Hybrid)

IBM

Sydney

On-site

AUD 180,000 - 240,000

Full time

3 days ago
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Benefits offered by this job

Hybrid work arrangement

Job summary

IBM Consulting is seeking an AI Security Architect to lead threat detection enhancements and build AI-driven response automation for clients. This role combines strategic advisory, technical design, and hands-on implementation across hybrid environments.

The ideal candidate brings deep cybersecurity expertise and proven experience with AI/ML and LLM frameworks, enabling innovative security solutions and stakeholder enablement for complex client ecosystems.

Qualifications

  • Deep expertise in cybersecurity to enhance threat detection and response capabilities.
  • Experience with AI/ML and LLM frameworks to drive innovation and implement response automation and intelligence capabilities.
  • Ability to perform technical design to enhance threat detection capabilities across client environments.
  • Deep understanding of threat intelligence and how to operationalize it in security programs.
  • Ability to drive innovation and enable stakeholders through hands-on implementation and strategic advisory services.

Responsibilities

  • Threat Detection Enhancement: Enhance threat detection capabilities across client environments through strategic advisory and technical design.
  • Response Automation Implementation: Implement response automation and intelligence capabilities using AI/ML and LLM frameworks.
  • Stakeholder Enablement: Drive innovation and enable stakeholders through hands-on implementation and strategic advisory services.

Skills

Cybersecurity
AI/ML Frameworks
LLM Frameworks
Technical Design
Threat Intelligence
Innovation Leadership

Education

Bachelor's Degree

Job description

IBM Consulting is seeking an AI Security Architect to lead threat detection enhancements and build AI-driven response automation for clients. This role combines strategic advisory, technical design, and hands-on implementation across hybrid environments.

The ideal candidate brings deep cybersecurity expertise and proven experience with AI/ML and LLM frameworks, enabling innovative security solutions and stakeholder enablement for complex client ecosystems.

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