JOB SUMMARY
We are seeking an Information Security Analyst to support and advance our security posture across data- and AI-driven initiatives. This role is ideal for a security professional early to mid-career who is eager to work at the intersection of information security, data governance, and artificial intelligence. You will help secure data pipelines, AI models, and platforms while also contributing to the development and deployment of AI-powered security solutions, including AI agents that automate or enhance security processes.
Key Responsibilities
• Support the design and creation of AI agents that enhance information security capabilities.
• Create and maintain automated agents to handle mundane and repeatable security requests, such as access and entitlement reviews, evidence collection for audits and compliance, policy guidance and security FAQs, intake and triage of security questionnaires and risk assessments, and security documentation and reporting.
• Define and implement guardrails for AI agents, such as role-based access controls and least-privilege permissions, human-in-the-loop approvals for sensitive or high-risk actions, logging, monitoring, and auditability of agent activity, and clear escalation paths when confidence thresholds or policy boundaries are exceeded.
• Collaborate with engineering, data, and AI teams to integrate AI agents into existing workflows.
• Test and validate AI-driven security tools to ensure accuracy, reliability, and ethical use.
• Participate in security reviews for new data and AI initiatives.
• Define key performance indicators to measure the effectiveness of AI agent automation.
Required Qualifications
• Bachelor's degree in information security, Computer Science, Information Systems, Data Science, Engineering, or a related field, OR HS Diploma/GED with equivalent proven practical experience through relevant work, internships, bootcamps, or self-directed learning.
• 5-7+ years of experience in one or more of the following: Information security or cybersecurity; Cloud engineering, data engineering, or platform operations with security exposure.
• Hands-on experience supporting or securing Data platforms, analytics environments, or cloud infrastructure.
• Hands-on experience supporting or securing APIs, applications, or internal tooling.
• Exposure to AI, machine learning, such as using and supporting AI/ML tools and platforms, building automations or AI-assisted workflows, participating in AI or data-related projects from a security perspective.
Certifications
