AI Governance & Responsible AI Consultant
Tasks
- Advise on AI operational risk and LLMOps observability
- Conduct client engagements with Responsible AI governance guidance
- Create Responsible AI assessment templates
- Define AI risk classification approaches
- Define AI security requirements and GenAI risk guardrails
- Define Responsible AI principles policies and guidelines
- Develop AI lifecycle governance controls
- Develop governance playbooks control libraries and assessment frameworks
- Establish explainability requirements and documentation standards
- Orchestrate AI security testing and red teaming
- Support AI regulatory compliance and standards
Perks/Benefits
- N/A
Skills/Tech-stack
AI Act | AI Governance | AI Lifecycle | AI Lifecycle Monitoring | AI RMF | AI Security | AI compliance | AI lifecycle governance | Adversarial Robustness | Agents | Data Leakage Prevention | Data Privacy | Data leakage | EU AI | EU AI Act | Explainable AI | FinOps | GDPR | GenAI Risk | GenAI risk management | ISO/IEC | ISO/IEC 23894 | ISO/IEC 42001 | LLMOps | LLMs | Leakage prevention | Lifecycle governance | Lifecycle monitoring | Model Risk Management | Model Validation | Model risk | NIST AI | NIST AI RMF | Observability | Prompt Security Testing | Prompt injection | Prompt security | RAG | Red Teaming | Responsible AI | Risk Assessment | Risk Management | Security Testing | XAI
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