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.
Candidates must have development experience, so the focus is on the below instead more than the Cyber experience:
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
Also, You can forward your CV through below link for more upcoming Job vacancies:
https://cv-fnrco.com
