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Agentic AI Cybersecurity Engineer

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Agentic AI Cybersecurity Engineer in USA new

  • American Express
  • Full time
  • Email
  • Phoenix, AZ

Responsibilities

  • Design and enhance automated metrics for control effectiveness and continuous control monitoring.
  • Develop, configure, test, and maintain AI-enabled agents and automation workflows for evidence evaluation, exception identification, remediation recommendations, and self-auditing.
  • Source, validate, and transform data for automated control testing and agent-driven analysis.
  • Analyze control testing outputs, cybersecurity telemetry, and agent findings to identify trends, anomalies, risks, and control improvements.
  • Build dashboards, reports, and data products covering control health, self-audit results, exceptions, and operational risk.
  • Define and track KPIs and KRIs including control trends, exception volumes, agent findings, remediation timeliness, and self-audit coverage.
  • Improve control documentation, data integrity, control standardization, automated testing, monitoring, and reporting under the RCSA framework.
  • Design secure and governed AI agents and workflows aligned with security standards, risk requirements, data protection, control objectives, and responsible AI practices.
  • Create prompts, rules, workflows, orchestration logic, validation criteria, and feedback loops for control implementation, self-audits, exception triage, remediation tracking, and evidence analysis.
  • Support security controls and monitoring for AI-enabled applications and workflows.

Requirements

  • At least 2 years of experience in cybersecurity, control management, technology risk, audit response, automation engineering, or related disciplines.
  • Experience with automated control testing, continuous control monitoring, automated evidence review, or self-audit capabilities.
  • Knowledge of generative AI risks, model integrity, prompt security, data protection, responsible AI, and AI-assisted cybersecurity operations.
  • Experience creating or configuring AI agents, automation frameworks, or agentic AI workflows for monitoring, detection, control validation, evidence analysis, and security engineering.
  • Ability to translate control objectives into executable agent tasks for evidence collection, test execution, exception identification, summarization, and escalation.
  • Strong engineering ability to turn control requirements into automated logic, repeatable tests, data pipelines, dashboards, and agent-enabled workflows.
  • Understanding of RCSA control processes, operational risk management, control design, evidence expectations, and audit readiness.
  • Experience using Python, SQL, APIs, workflow automation, analytics tools, Excel, and PowerPoint for control monitoring and reporting.
  • Strong proficiency with Confluence, SharePoint, Slack, or Teams.
  • Bachelor’s degree in Computer Science, Information Systems, Cybersecurity, Engineering, or Data Analytics, or comparable experience.
  • Employment eligibility to work with American Express in the United States is required.

Salary: $104k - $175k/yr

American Express

At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are...

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