Job Description
Shape the future of responsible AI at FutureShield AI. As we approach 2026, ethical AI implementation is no longer optional—it's critical. We're seeking a visionary AI Ethics & Governance Specialist to design frameworks that ensure our AI systems align with human values while driving innovation. Join our interdisciplinary team at the forefront of ethical technology development.
This role requires deep technical knowledge combined with philosophical rigor. You'll collaborate with engineers, policymakers, and ethicists to create auditable, transparent AI systems that prioritize fairness, accountability, and human oversight. If you're passionate about building technology that serves humanity responsibly, this is your moment.
Responsibilities
- Develop and implement comprehensive AI ethics frameworks aligned with emerging 2026 regulatory standards
- Conduct bias audits and risk assessments for machine learning models across all product lines
- Design explainability protocols for complex neural networks and generative AI systems
- Create governance policies for autonomous decision-making systems in high-stakes domains
- Lead cross-functional ethics committees and stakeholder engagement initiatives
- Establish continuous monitoring systems for ethical compliance in production environments
- Research and publish on emerging AI ethics challenges and mitigation strategies
Qualifications
- Advanced degree in Computer Science, Ethics, Philosophy, Law, or related field with AI specialization
- 5+ years experience in AI governance, risk management, or responsible AI implementation
- Expertise in bias detection algorithms and fairness metrics (e.g., disparate impact analysis)
- Deep understanding of global AI regulatory landscapes (EU AI Act, NIST frameworks)
- Proficiency in implementing model explainability tools (SHAP, LIME, counterfactual analysis)
- Strong background in ethical theory applied to technological systems
- Experience developing AI ethics training programs and organizational policies
- Publication record in peer-reviewed journals or conferences on AI ethics