Back
Tier-1 employer and metro location increase competition despite niche Responsible AI specialization.
Role requires domain-specific AI governance, regulatory and LLM risk expertise, limiting cross-industry transferability.
Explicit 8–12 years plus mandatory governance, regulatory and AI-security experience makes shortlisting highly strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Define and maintain the enterprise Responsible AI framework including policies, risk classification, and governance standards across the AI lifecycle.
Advise engineering, product, legal, and business teams on AI explainability, security testing, risk, and regulatory compliance to ensure AI is trustworthy and auditable.
Support governance forums and client engagements by creating assessment templates, governance playbooks, and providing expert consultation on AI risk and compliance.
8–12 years of experience in AI governance, Responsible AI, model risk, data privacy, compliance, or AI/ML with governance focus.
Proven experience defining governance controls, risk frameworks, and compliance processes with ability to design assessment templates and control libraries.
Strong understanding of AI/ML and GenAI lifecycle and risk surfaces, and familiarity with regulatory frameworks like EU AI Act, NIST AI RMF, ISO/IEC 42001, GDPR.
Educational qualification: B.E/B.Tech/MCA/PhD or equivalent; experience working with engineering and architecture teams in services or product organizations.
Operates at senior level bridging AI technical teams with legal, risk, and business stakeholders to translate complex AI risks into actionable governance and compliance strategies.
Experienced in orchestrating AI security risk assessments and governance in organizations adopting advanced AI technologies including GenAI and LLMs.
Comfortable working in cross-disciplinary environments supporting frameworks aligned with international AI regulatory standards and standards bodies.