AI Revenue Recognition Specialist vs AI Risk & Controls Automation Specialist

B AI Risk & Controls Automation Specialist Only

• AI threat modeling and adversarial risk assessment for LLM and classical ML systems
• Policy-as-code authoring (OPA/Rego, YAML-based guardrail definitions, compliance-as-code)
• LLM output evaluation pipeline design - toxicity, hallucination, PII leakage, and jailbreak detection
• Python automation for security controls (API integrations, custom scanners, CI/CD hooks)
• Familiarity with AI governance frameworks: NIST AI RMF, EU AI Act, ISO 42001, SOC 2 AI addenda
• Prompt engineering and red-teaming techniques for generative AI systems
• Cloud-native security architecture for AI workloads (AWS SageMaker, Azure ML, GCP Vertex AI)
• Continuous monitoring and observability for model behavior drift, safety KPIs, and audit trails