AI Cyber GRC Automation Engineer

Experience Requirement • Minimum 8 years of experience in Cybersecurity, with a strong focus on Governance, Risk, and Compliance (GRC) in regulated environments. 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.

• 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