The AI Security & Automation Engineer plays a pivotal role in enhancing the efficiency and maturity of the organisations security operations by designing and implementing robust automated solutions. Working in close collaboration with Global Information and Cyber Security Defence (ICSD) function this role identifies opportunities to streamline processes accelerate incident response and reduce operational overhead through intelligent automation. In addition to building scalable automation workflows this individual will contribute to the broader Security Engineering team supporting the development and maintenance of the organizations security infrastructure. The ideal candidate combines a deep understanding of cybersecurity operations with a strong background in scripting and automation platforms to build scalable resilient and secure systems.
Role and Responsibilities:
Design and deploy AI-driven security agents leveraging Large Language Models (LLMs) to automate traditionally manual security operations and workflows.
Leverage LLM-powered platforms such as Microsoft Security Copilot to support cybersecurity tasks including threat hunting triage investigations and response and creating security incident response playbooks.
Build and maintain SOAR playbooks integrated with various security platforms (e.g. SIEMs EDRs identity platforms) to streamline incident response and automation.
Lead automation initiatives to eliminate manual processes improve the reliability and visibility of security controls and define metrics to measure the impact of process improvements.
Ensure automation workflows and monitoring solutions are resilient integrated and optimized for 24/7 detection and response capabilities.
Support the administration and management of security tools within the Security Engineering team.
Participate in proof-of-concepts for innovative security and automation solutions.
Lead security operations process improvements including development and refinement of SOPs playbooks and standards.
Support security audits assist in incident investigations and promote adherence to security best practices across DevOps environments.
Create technical documentation and deliver enablement sessions to enhance security awareness and practices within engineering teams.
Foster a culture of security excellence by promoting secure coding and design practices across the organization.
Qualifications
Required Qualifications:
Bachelors degree in computer science Information Security or a related field or equivalent work experience.
5 years of experience in cybersecurity with a focus on security engineering and automation.
Comfortable writing scripts using languages such as Python PowerShell or Bash and experience with automation platforms such as Azure Logic Apps
SOAR tools (e.g. Microsoft Sentinel Splunk SOAR Cortex XSOAR).
Experience designing SOAR workflows for automated security response and incident triage.
Proven experience with Large Language Models (LLMs) such as Claude GPT-4 OpenAI Azure OpenAI or similar frameworks.
Deep understanding of cybersecurity domains including incident response threat detection and Identity and Access Management (IAM) principles.
Experience with RESTful APIs JSON and integrating various security platforms.
Familiarity with cloud platforms and cloud-native security services.
Knowledge of Microsoft Security products such as Microsoft Sentinel Microsoft Defender XDR Microsoft Defender for Cloud Microsoft Intune etc.
Solid understanding of ITSM and change control processes.
Understanding log management SIEM tools endpoint detection and other security platforms.
Other Knowledge Skills and Abilities
Strong communication and collaboration skills with proven experience working in cross-functional global teams.
Strong problem-solving and critical thinking skills for addressing security issues and finding effective solutions.
Outstanding written and verbal communication skills.
Ability to work both independently and collaboratively in a fast-paced environment.
Strong communication skills with the ability to explain security concepts to non-technical stakeholders.
Certifications (Preferred):
Microsoft Certified: Azure Security Engineer Associate (AZ-500)
Microsoft Certified: Security Compliance and Identity Fundamentals (SC-900)
Microsoft Certified: Security Operations Analyst Associate (SC-200)
Certified Information Systems Security Professional (CISSP)
Certified Automation Professional (CAP)
Certified Cloud Security Professional (CCSP)
CompTIA Security / CySA / CASP
Any other relevant security automation or cloud security certifications
Were committed to equal employment opportunity and provide application interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers from the application process through to joining WTW please email
Required Experience:
IC
DescriptionThe AI Security & Automation Engineer plays a pivotal role in enhancing the efficiency and maturity of the organisations security operations by designing and implementing robust automated solutions. Working in close collaboration with Global Information and Cyber Security Defence (ICSD) f...
Description
The AI Security & Automation Engineer plays a pivotal role in enhancing the efficiency and maturity of the organisations security operations by designing and implementing robust automated solutions. Working in close collaboration with Global Information and Cyber Security Defence (ICSD) function this role identifies opportunities to streamline processes accelerate incident response and reduce operational overhead through intelligent automation. In addition to building scalable automation workflows this individual will contribute to the broader Security Engineering team supporting the development and maintenance of the organizations security infrastructure. The ideal candidate combines a deep understanding of cybersecurity operations with a strong background in scripting and automation platforms to build scalable resilient and secure systems.
Role and Responsibilities:
Design and deploy AI-driven security agents leveraging Large Language Models (LLMs) to automate traditionally manual security operations and workflows.
Leverage LLM-powered platforms such as Microsoft Security Copilot to support cybersecurity tasks including threat hunting triage investigations and response and creating security incident response playbooks.
Build and maintain SOAR playbooks integrated with various security platforms (e.g. SIEMs EDRs identity platforms) to streamline incident response and automation.
Lead automation initiatives to eliminate manual processes improve the reliability and visibility of security controls and define metrics to measure the impact of process improvements.
Ensure automation workflows and monitoring solutions are resilient integrated and optimized for 24/7 detection and response capabilities.
Support the administration and management of security tools within the Security Engineering team.
Participate in proof-of-concepts for innovative security and automation solutions.
Lead security operations process improvements including development and refinement of SOPs playbooks and standards.
Support security audits assist in incident investigations and promote adherence to security best practices across DevOps environments.
Create technical documentation and deliver enablement sessions to enhance security awareness and practices within engineering teams.
Foster a culture of security excellence by promoting secure coding and design practices across the organization.
Qualifications
Required Qualifications:
Bachelors degree in computer science Information Security or a related field or equivalent work experience.
5 years of experience in cybersecurity with a focus on security engineering and automation.
Comfortable writing scripts using languages such as Python PowerShell or Bash and experience with automation platforms such as Azure Logic Apps
SOAR tools (e.g. Microsoft Sentinel Splunk SOAR Cortex XSOAR).
Experience designing SOAR workflows for automated security response and incident triage.
Proven experience with Large Language Models (LLMs) such as Claude GPT-4 OpenAI Azure OpenAI or similar frameworks.
Deep understanding of cybersecurity domains including incident response threat detection and Identity and Access Management (IAM) principles.
Experience with RESTful APIs JSON and integrating various security platforms.
Familiarity with cloud platforms and cloud-native security services.
Knowledge of Microsoft Security products such as Microsoft Sentinel Microsoft Defender XDR Microsoft Defender for Cloud Microsoft Intune etc.
Solid understanding of ITSM and change control processes.
Understanding log management SIEM tools endpoint detection and other security platforms.
Other Knowledge Skills and Abilities
Strong communication and collaboration skills with proven experience working in cross-functional global teams.
Strong problem-solving and critical thinking skills for addressing security issues and finding effective solutions.
Outstanding written and verbal communication skills.
Ability to work both independently and collaboratively in a fast-paced environment.
Strong communication skills with the ability to explain security concepts to non-technical stakeholders.
Certifications (Preferred):
Microsoft Certified: Azure Security Engineer Associate (AZ-500)
Microsoft Certified: Security Compliance and Identity Fundamentals (SC-900)
Microsoft Certified: Security Operations Analyst Associate (SC-200)
Certified Information Systems Security Professional (CISSP)
Certified Automation Professional (CAP)
Certified Cloud Security Professional (CCSP)
CompTIA Security / CySA / CASP
Any other relevant security automation or cloud security certifications
Were committed to equal employment opportunity and provide application interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers from the application process through to joining WTW please email