AI Governance & Responsible AI Consultant

Define and maintain enterprise Responsible AI frameworks, including policies on ethics, fairness, transparency, accountability, and privacy across the AI lifecycle.

Set explainability and governance standards, conduct AI risk classification, and ensure regulatory compliance with frameworks like EU AI Act and NIST AI RMF.

Advise and orchestrate AI security testing and governance for AI initiatives, collaborating with engineering, legal, compliance, and business teams to make AI trustworthy and auditable.

8–12 years of experience in AI governance, Responsible AI, model risk, data privacy, compliance, or governance-focused AI/ML roles.

Educational qualification: B.E/B.Tech/MCA/PhD or equivalent.

Proven skills in defining governance controls, risk frameworks, and compliance processes, including designing assessment templates and control libraries.

Familiarity with AI security concepts and regulatory frameworks such as EU AI Act, NIST AI RMF, ISO/IEC 42001/23894, and GDPR; experience working with engineering and architecture teams.

Has deep expertise in AI/ML and GenAI lifecycle risks including LLMs, RAG, agents, deployment, and monitoring.

Experienced in translating complex AI risks into practical, business-friendly guidance across technical, legal, and compliance functions.

Effective in advisory roles within services or product organizations, influencing governance and operational risk controls.