Consultant — AI Strategy, Governance & Security
Tasks
- Build implementation roadmaps
- Build proof of concept tools in Python
- Conduct AI governance assessments
- Create maturity assessments
- Create technical briefings for executive audiences
- Deliver executive briefings
- Demonstrate prompt injection concepts
- Develop AI risk registers
- Develop model evaluation techniques
- Develop reusable governance tools and templates
- Evaluate AI platforms and vendor solutions
- Experiment with agentic frameworks
- Identify governance gaps
- Identify security vulnerabilities
- Implement RAG architectures
- Map controls to requirements
- Monitor AI regulation and standards
- Perform model evaluation and testing
- Perform technical reviews of AI systems
- Prepare assessment reports
- Propose policy recommendations
- Research AI risk including agentic AI systems
- Run workshops and stakeholder interviews
- Translate technical content for non-technical stakeholders
Perks/Benefits
Skills/Tech-stack
AI Act | AI Governance | AI RMF | Agentic AI | Attention | Autogen | CrewAI | Cybersecurity | EU AI | EU AI Act | Embeddings | Fine Tuning | ISO 27001 | ISO/IEC | ISO/IEC 42001 | Jupyter | LLM Top 10 | Langchain | Langgraph | 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 Management | Scikit-learn | Security assessment | Supervised Learning | Tokenization | Top 10 | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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