Role Purpose:
The AI Cyber GRC Automation Engineer designs and delivers AI driven GRC automation capabilities using no code / low code platforms and large language models (LLMs).
The role accelerates risk assessments, regulatory compliance, control mapping, and reporting
through secure, auditable AI workflows, reducing manual effort while maintaining regulatory rigor.
Key Responsibilities
- Build AI enabled GRC automations and assistants for:
- Regulatory and policy analysis
- Control mapping and gap assessments
- Risk identification, scoring, and remediation tracking
- Continuous compliance monitoring and reporting
- Develop end to end workflows using no code / low code orchestration tools, integrating with GRC
- platforms, document repositories, and ITSM systems.
- Use LLMs (e.g., Claude class models) to interpret regulations, policies, and evidence, producing
- structured, explainable outputs.
- Embed auditability, traceability, and explainability into all AI outputs to support regulators and
- internal audit.
- Ensure alignment with enterprise security architecture, data protection, and AI governance
- standards.
Required Skills & Experience:
- 8+ years of experience in Cyber GRC, Risk Management, or Compliance.
- Strong understanding of regulatory frameworks and control environments.
- Hands on experience with AI driven automation and no code / low code platforms.
- Familiarity with LLM based assistants, prompt design, and secure AI usage in enterprise settings.
- Ability to translate regulatory and control requirements into automated, AI enabled workflows.
- Experience working with auditors, regulators, and senior risk stakeholders
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https://cv-fnrco.com
