Security Automation Engineer

The Opportunity:

How You'll Make a Difference Day to Day:

AI Security & Governance

• Implement and operationalize AI security and governance frameworks.

• Evaluate and manage risks associated with AI platforms, models, agents, and third-party AI services.

• Conduct AI-specific security assessments and risk evaluations.

• Develop controls for secure AI adoption across the organization.

• Monitor and identify unauthorized or unsanctioned AI usage (Shadow AI).

• Establish processes for AI inventory, governance, and risk monitoring.

• Secure AI integrations, APIs, connectors, plugins, and external service endpoints.

• Partner with legal, compliance, privacy, and security teams to ensure responsible AI implementation.

• Support AI policy development and enforcement initiatives.

AI Telemetry & Monitoring

• Design and maintain AI logging, monitoring, and telemetry capabilities.

• Develop visibility into AI usage, prompts, model interactions, and data flows.

• Create dashboards and reporting mechanisms for AI governance and security oversight.

• Enhance detection capabilities for AI-related threats, misuse, and anomalous activity.

• Integrate AI telemetry into security operations workflows and threat detection platforms.

Operational Automation

• Design, build, and maintain security and operational automation workflows.

• Develop and optimize Tines automation stories and playbooks.

• Automate repetitive IT and security processes to improve efficiency and consistency.

• Streamline ticketing, escalation, and workflow management processes.

• Build automated remediation and response capabilities.

• Enhance identity and access management operations through automation.

• Leverage AI capabilities to improve operational effectiveness and user productivity.

Security Engineering & Integration

• Develop custom scripts, integrations, and automation tools to support security operations.

• Coordinate API integrations across security, cloud, identity, and operational platforms.

• Implement cloud-native automation and orchestration capabilities.

• Enrich security telemetry and threat detection data from multiple sources.

• Design and maintain scalable security workflows across the enterprise.

• Partner with Security Operations, Cloud Engineering, and IT teams to improve operational resilience.

Minimum Qualifications:

• 5+ years of experience in Security Engineering, Security Operations, Cloud Security, DevSecOps, Automation Engineering, or related disciplines.
• Strong understanding of modern AI technologies, large language models (LLMs), AI agents, and AI-enabled business applications.
• Experience implementing automation solutions using platforms such as Tines, Power Automate, ServiceNow, or similar technologies.
• Strong scripting and development skills in Python, PowerShell, JavaScript, or similar languages.
• Experience working with APIs, webhooks, and cloud-native integrations.
• Knowledge of cloud security principles across AWS, Azure, or Google Cloud.
• Experience with logging, telemetry, monitoring, and observability platforms.
• Strong analytical and problem-solving skills.

Preferred Qualifications:

• Experience implementing AI governance, AI security, or responsible AI programs.
• Familiarity with emerging AI security frameworks and industry best practices.
• Experience with SIEM, SOAR, XDR, and security orchestration platforms.
• Knowledge of identity and access management technologies.
• Experience securing SaaS and AI-powered enterprise applications.
• Relevant certifications such as CISSP, CCSP, GIAC, Azure Security Engineer, AWS Security Specialty, or AI-focused security certifications.

Success Metrics:

Success in this role will be measured by:

Adoption and maturity of AI governance controls.

Visibility into enterprise AI usage and Shadow AI activity.

Effectiveness of AI telemetry, monitoring, and reporting capabilities.

Reduction in manual operational workload through automation.

Increased efficiency of security and IT operations workflows.

Number and impact of automated remediation and response processes.

Quality and reliability of security integrations and orchestration workflows.

Safe enablement and adoption of AI technologies across the organization.

Improvements in detection, response, and operational effectiveness driven by AI and automation.