Agentic AI Cybersecurity Engineer
Core
Design and maintain AI-enabled agents and automation workflows for continuous control monitoring, evidence evaluation, and self-auditing within cybersecurity operations.
Role type
Senior IC agentic AI cybersecurity engineer
Builds
Automated control testing workflows, agent-driven analysis pipelines, dashboards, and data products for control health and operational risk
Domain
Cybersecurity + Generative AI / Agentic AI
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, API integration, workflow automation, data pipeline construction, dashboard development, prompt engineering, agent orchestration, risk analysis, control standardization
Preferred skills
Experience with RCSA frameworks, knowledge of generative AI risks and model integrity, proficiency with collaboration tools (Confluence, SharePoint, Slack, Teams)
Technologies
Python, SQL, APIs, Excel, PowerPoint, Confluence, SharePoint, Slack, Teams
Responsibilities
Develop and configure AI agents for evidence evaluation and exception identification; Analyze cybersecurity telemetry and agent findings to identify trends and anomalies; Build dashboards and reports covering control health and self-audit results; Define and track KPIs and KRIs for control trends and remediation timeliness; Create prompts, rules, and feedback loops for agent-driven control implementation; Support security controls for AI-enabled applications
Seniority
Mid-level, hands-on IC