AI Governance And Ethics Specialist

Job Summary

IBM is seeking an AI Governance & Ethics Specialist to develop and implement responsible AI frameworks, ensure compliance with emerging AI regulations, and establish governance practices for the ethical development and deployment of Artificial Intelligence solutions. The ideal candidate will work closely with data scientists, legal teams, security professionals, and business stakeholders to ensure AI systems are transparent, fair, secure, and compliant with global standards.

Job Description

As an AI Governance & Ethics Specialist, you will:

• Develop and implement Responsible AI policies and governance frameworks.
• Establish standards for ethical AI development and deployment.
• Conduct AI risk assessments and identify potential biases and fairness issues.
• Ensure compliance with AI regulations, data privacy laws, and industry standards.
• Develop AI accountability, transparency, and explainability programs.
• Collaborate with legal, cybersecurity, and engineering teams on AI governance initiatives.
• Create AI monitoring and audit processes for enterprise AI systems.
• Design governance strategies for Generative AI and Large Language Model (LLM) applications.
• Provide recommendations on AI ethics, security, and risk management practices.

Key Responsibilities

AI Governance

• Develop enterprise AI governance frameworks.
• Define AI policies, standards, and operating procedures.
• Create governance models for AI lifecycle management.

AI Risk Management

• Conduct AI risk assessments and impact analyses.
• Identify bias, fairness, and explainability concerns.
• Implement controls to reduce AI-related risks.

Compliance & Regulations

• Ensure adherence to global AI regulations and privacy requirements.
• Support AI compliance audits and assessments.
• Develop AI governance documentation and reporting.

Responsible AI Implementation

• Establish principles for ethical and trustworthy AI.
• Define AI transparency and accountability requirements.
• Create monitoring and evaluation mechanisms for AI systems.

Cross-Functional Collaboration

• Work with data scientists and AI engineers to implement governance controls.
• Collaborate with legal and cybersecurity teams on compliance initiatives.
• Present governance strategies and recommendations to executive leadership.

Required Technical Skills

• Artificial Intelligence Fundamentals
• Responsible AI & Ethical AI Principles
• AI Governance Frameworks
• AI Risk Management
• Generative AI & Large Language Models (LLMs)
• Data Privacy & Data Governance
• AI Explainability and Fairness Techniques
• Security and Compliance Fundamentals
• Python and Data Analytics (Preferred)
• Cloud Platforms (AWS, Azure, Google Cloud)

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Information Systems, Law, or a related field.
• 3–7+ years of experience in AI, Data Governance, Risk Management, Compliance, or Cybersecurity.
• Knowledge of Generative AI, LLMs, and enterprise AI deployment.
• Understanding of AI ethics, privacy, and governance best practices.
• Excellent communication, analytical, and stakeholder management skills.

Key Skills

✅ Responsible AI & Ethical AI
✅ AI Governance & Compliance
✅ AI Risk Management
✅ Generative AI & Large Language Models (LLMs)
✅ Data Privacy & Governance
✅ AI Explainability & Fairness
✅ Enterprise Risk Management
✅ Security & Regulatory Compliance
✅ Cloud & AI Platforms
✅ Strategic Communication & Leadership

Benefits

✅ Annual Performance Bonus
✅ Health, Dental, and Vision Insurance
✅ Hybrid/Remote Work Opportunities
✅ Professional Certifications and Training Programs
✅ Leadership Development Programs
✅ Career Advancement Opportunities