AI Security, Automation Engineer

Role Overview

• 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.
• 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.
• 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.
• 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.

Requirements

• 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.

Tech Stack

• AWS
• Azure
• Cloud
• JavaScript
• Python
• ServiceNow

Benefits

• Competitive salary
• Hybrid work environment (3 days in office per week)
• 100% individual and dependent medical + dental + vision coverage
• 401(K) with a 4% company match
• 20 days PTO
• Iru Wellness Week the first week in July
• Equity for full-time employees
• In-office lunch stipend provided
• Up to 16 weeks of paid leave for new parents
• Paid Family and Medical Leave
• Modern Health mental health benefits for individuals and dependents
• Fertility benefits
• Working Advantage employee discounts
• Onsite fitness center
• Free parking
• Exciting opportunities for career growth