Consultant — AI Strategy, Governance & Security
Tasks
- Apply model evaluation techniques
- Bridge technical and executive audiences
- Build AI governance framework
- Build Python proof of concept tools
- Build control libraries
- Build risk scoring models
- Conduct stakeholder interviews
- Conduct technical reviews
- Create annotated code walkthroughs
- Create maturity assessments
- Deliver AI governance assessments
- Demonstrate prompt injection mitigations
- Design RAG architectures
- Develop AI risk registers
- Develop assessment questionnaires
- Develop implementation roadmaps
- Draft thought leadership content
- Evaluate and test AI platforms
- Experiment with agentic frameworks
- Identify governance gaps
- Identify security vulnerabilities
- Map controls to risks
- Monitor regulatory standards updates
- Perform governance and security reviews
- Prepare executive briefings
- Prepare technical briefings
- Produce client assessment reports
- Recommend AI policies
- Research emerging AI risks
Perks/Benefits
Skills/Tech-stack
AI Act | AI Governance | AI RMF | AI Security | Artificial Intelligence | Attention | Autogen | CrewAI | EU AI | EU AI Act | Embeddings | ISO 27001 | ISO/IEC | ISO/IEC 42001 | Information security | Jupyter | LLM | LLM Top 10 | Langchain | Langgraph | MCP | Machine Learning | Model Context Protocol | Model Evaluation | NIST AI | NIST AI RMF | NIST CSF | OWASP LLM | OWASP LLM Top 10 | Pandas | Prompt engineering | Prompt injection | Python | RAG | Retrieval-Augmented Generation | Risk Assessment | Risk Management | Scikit-learn | Secure Architecture | Tokenization | Top 10
Education
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