AI Governance

• Support AI Governance and Responsible AI engagements for global clients.
• Conduct AI risk assessments and evaluate governance and control frameworks.
• Review AI/ML and GenAI use cases for fairness, explainability, accountability, transparency, and compliance.
• Assess risks associated with LLMs, RAG applications, Agentic AI systems, and Machine Learning models.
• Perform AI control testing, governance reviews, and assurance activities.
• Assist in designing and implementing AI governance frameworks and policies.
• Support AI audit and compliance initiatives.
• Collaborate with technology, business, legal, risk, and compliance stakeholders.
• Provide recommendations to mitigate AI-related risks.
• Stay updated on evolving AI regulations, industry standards, and Responsible AI practices.

• 3 to 11 years of experience in AI/ML, Data Science, NLP, Machine Learning, or Generative AI.
• Strong knowledge of:
  • Python
  • Machine Learning
  • NLP
  • Generative AI
  • Large Language Models (LLMs)
  • LangChain
  • LangGraph
  • RAG (Retrieval-Augmented Generation)
  • OpenAI / Azure OpenAI

Professionals currently working as:

• AI Engineer
• GenAI Engineer
• Machine Learning Engineer
• NLP Engineer
• Data Scientist
• Applied AI Engineer