AI Governance Specialist

Urgently Hiring for

This Contractual position

Location Bangalore ( Hybrid mode)

1st round Virtual

2nd Round - Face to Face

Experience - 9-12Yrs

Key Responsibilities:

• AI Policy & Framework Development:

• Implement organizational AI governance policies and risk management frameworks.
• Align internal governance practices with global standards and regulations (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001).
• Collaborate with legal, compliance, data science, and product teams to ensure AI systems meet ethical and regulatory requirements.

• Risk Assessment & Compliance:

• Conduct AI risk and impact assessments across the model lifecycle.
• Monitor compliance with emerging AI regulations, data privacy laws (e.g., GDPR), and sector-specific requirements.
• Identify and escalate potential ethical, legal, or reputational risks.

• Ethical AI & Responsible Innovation:

• Promote fairness, transparency, accountability, explainability, and human oversight in AI/ML systems.
• Support initiatives for bias detection, algorithmic accountability, and model interpretability.

• Governance Operations & Tooling:

• Work with cross-functional teams to embed governance controls into MLOps and AI development pipelines.
• Evaluate or develop tools to support model documentation (e.g., model cards, datasheets), audit trails, and explainability.

• Stakeholder Engagement & Training:

• Act as a subject-matter expert on AI governance for internal and external stakeholders.
• Design and deliver training programs on responsible AI practices for technical and business teams.

Experience:

• 9-12 years of experience in AI/ML, risk management, regulatory compliance, or corporate governance.
• Experience with responsible AI frameworks, audit processes, or regulatory readiness preferred.

Skills:

• Deep understanding of AI/ML technologies and their societal and organizational impacts.
• Experience working in regulated industries (e.g., finance, healthcare, energy).
• Knowledge of cybersecurity, data governance, or digital ethics.
• Strong analytical, communication, and stakeholder management skills.
• Ability to navigate ambiguity and influence cross-functional teams in a fast-paced environment