Job Description
Join Nexus AI Solutions at the forefront of responsible innovation. We're seeking a visionary AI Ethicist to shape the future of ethical AI deployment in 2026 and beyond. In this critical role, you'll architect governance frameworks that balance technological advancement with human values, ensuring our AI systems align with evolving societal expectations and regulatory landscapes. You'll collaborate with world-class engineers, data scientists, and policymakers to embed ethics into every stage of the AI lifecycle. If you're passionate about creating technology that serves humanity while mitigating existential risks, this is your opportunity to define tomorrow's ethical tech standards.
Responsibilities
- Design and implement comprehensive AI ethical governance frameworks aligned with emerging regulations
- Conduct bias audits and risk assessments for high-stakes AI systems across healthcare, finance, and autonomous sectors
- Develop transparent explainability protocols for complex neural networks and generative models
- Lead cross-functional ethics committees to evaluate AI deployment scenarios for societal impact
- Establish continuous monitoring protocols for AI system behavior in production environments
- Create industry-leading ethical AI training programs for technical and non-technical stakeholders
- Advocate for responsible AI adoption through white papers, conferences, and policy consultations
Qualifications
- PhD or Master's degree in Ethics, Philosophy, Computer Science, Cognitive Science, or related field
- 5+ years experience in AI ethics, machine learning governance, or responsible AI implementation
- Expertise in bias mitigation techniques and fairness metrics for ML systems
- Deep understanding of global AI regulations (EU AI Act, NIST AI RMF, state-level frameworks)
- Proven ability to translate ethical principles into technical requirements for engineering teams
- Experience with stakeholder engagement across technical, legal, and public sectors
- Published research or practical contributions to AI ethics literature