About the job

Role Overview

Lead responsible AI initiatives by ensuring ethical deployment, regulatory compliance, risk management, and model explainability across AI systems. Champion trustworthy and transparent AI practices.

Responsibilities

Develop and implement responsible AI frameworks, policies, and governance structures

Conduct ethical assessments and risk evaluations for AI systems and models

Ensure compliance with AI regulations (GDPR, AI Act, CCPA, industry standards)

Perform bias audits, fairness testing, and discrimination risk assessments

Implement model explainability and interpretability solutions (SHAP, LIME, attention visualization)

Create documentation and transparency reports for AI systems

Collaborate with legal, compliance, and technical teams on AI governance

Train teams on responsible AI practices and ethical considerations

Monitor emerging AI regulations and update policies accordingly

Requirements

Bachelor's degree in Computer Science, Law, Ethics, Public Policy, or related field

Strong understanding of responsible AI principles and frameworks

Proven experience with AI compliance and regulatory requirements

Expertise in risk assessment methodologies for AI systems

Hands-on experience with explainability tools and techniques (SHAP, LIME, InterpretML)

Knowledge of AI ethics, fairness metrics, and bias mitigation strategies

Understanding of ML model development lifecycle and deployment practices

Excellent communication skills to explain complex technical concepts to non-technical stakeholders

Preferred

Advanced degree (MS/PhD) in relevant field or law degree with tech focus

Experience with AI governance frameworks (NIST AI RMF, ISO/IEC standards, EU AI Act)

Familiarity with industry-specific regulations (healthcare HIPAA, finance regulations)

Technical background with Python and ML frameworks

Experience conducting algorithmic impact assessments

Knowledge of privacy-preserving techniques (differential privacy, federated learning)

Certifications in AI ethics or governance

Experience working with cross-functional and executive teams

Technical Skills

AI explainability tools (SHAP, LIME, Captum, InterpretML)

Understanding of ML models and their potential risks

Documentation and audit trail management

Risk assessment frameworks and methodologies

Desired Skills and Experience

AI ETHICS, RESPONSIBLE AI, AI GOVERNANCE