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