Responsible Ai

Role & responsibilities

Key Responsibilities:

• Develop AI governance framework incorporating AI governance organization structure, policies, procedures and corresponding roles and responsibilities.
• Perform periodic assessments to evaluate current AI governance posture of the organization based on leading practices (such as ISO 42001:2023, NIST AI RMF, etc.) and identify improvements for policy, procedures, roles and responsibilities etc.
• Perform gap assessment to review current state of AI based solution to evaluate controls implemented for AI risk management including considerations for security and privacy aspects.

Preferred candidate profile

• Perform design review for AI based solutions to ascertain adequacy of mechanism defined for managing ethical AI usage including evaluation of design aspects for addressing principles such as fairness, transparency, accountability, and privacy.
• Perform threat modelling to identify security-related weaknesses (flaws) in code during the AI development phase and related lifecycle activities to evaluate input integrity, prompt validation, output management, ethics validation, plugin security and codebase control based on leading standards such as OWASP, MITRE ATLAS, etc.
• Identify the external and internal dependencies of AI governance processes as well as required technologies to analyze the overall maturity of organizations AI risk management strategy.
• Perform the AI governance risk assessment to identify the AI related design, performance, and algorithmic threats and prepare a corresponding risk treatment plan.
• Coordinate with internal and external stakeholders to ensure that AI risk management strategies are in place across the entire organization.
• Establish AI Governance and Ethics Management Steering Committee for periodic monitoring and tracking of all aspects of AI governance establishment and identification and progress on defined goals, objectives, and initiatives.
• Prepare content for AI Risk and Governance Management related trainings for user awareness.

Qualifications:

• Bachelors degree in information technology, Computer Science, or a related field. Master's degree preferred.
• Minimum of 3-5 years of experience in AI/ML technologies, MLOps, LLMOps, AI Frameworks or related roles.
• Strong understanding of Generative AI, familiarity with NLP tools and techniques, AI Governance standards and best practices (e.g., NIST AI RMF, MITRE ATLAS, OWASP Top 10 for LLM, ENISA, HITRUST, ISO/IEC 23894, ISO 42001).
• Professional certifications such as ISO 42001 Lead Auditor, ISO 42001 Lead Implementor, CISA or equivalent preferred.
• Experience in designing, implementing, and managing AI solutions, AI governance processes, including Risk assessment, Responsible AI Impact Analysis, Model Security Testing etc.
• Strong communication and presentation skills for effectively conveying complex AI concepts, strategies and governance initiatives to key stakeholders, enabling decision-making.
• Excellent analytical and problem-solving skills, with the ability to assess complex AI governance issues and develop practical solutions.
• Strong interpersonal skills with the ability to effectively collaborate with cross-functional teams and stakeholders.