AI Governance Specialist

Tekskills; Bengaluru; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

Tekskills in Bengaluru, India is seeking an AI Governance Specialist to lead policy development, risk management, and regulatory alignment for AI systems. You will collaborate with legal, compliance, data science, and product teams to embed governance controls into MLOps, develop model cards and datasheets, and ensure transparency and accountability.

The role emphasizes training across technical and business teams, managing ethical considerations, and navigating evolving regulations in regulated

Qualifications

• 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.
• Strong understanding of AI/ML technologies and their societal and organizational impacts.

Responsibilities

• AI Policy & Framework Development: Implement organizational AI governance policies and risk management frameworks; align with global standards and regulations.
• Risk Assessment & Compliance: Conduct AI risk and impact assessments; monitor compliance with emerging AI regulations and data privacy laws.
• Ethical AI & Responsible Innovation: Promote fairness, transparency, accountability, explainability, and human oversight in AI/ML systems.
• Governance Operations & Tooling: Embed governance controls into MLOps and AI development pipelines; develop model documentation and audit trails.
• Stakeholder Engagement & Training: Serve as SME on AI governance; design and deliver training on responsible AI practices.

Skills

AI/ML technologies

Regulated industries experience

Cybersecurity / data governance

Analytical communication & stakeholder

Ambiguity navigation & cross‑function

Education

Bachelor's/Master's in Law, CS, Data Science, Ethics, Public Policy

Certifications in AI Ethics, Data Protection, Risk Management

Job description

AI Governance Specialist

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 elevate 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.

Qualifications:

Education:

• Bachelors or Masters degree in Law, Computer Science, Data Science, Ethics, Public Policy, or a related field.
• Additional certifications (e.g., in AI Ethics, Data Protection, Risk Management) are a plus.

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