Job Description
Join Nexus Horizons Inc. at the forefront of technological evolution as we pioneer ethical AI frameworks for 2026. We seek a visionary AI Ethics Architect to design governance systems that balance innovation with human values. This role sits at the intersection of technology, policy, and philosophy, shaping how AI will responsibly transform industries worldwide. You'll collaborate with quantum computing teams, neuroscientists, and global policymakers to build the ethical backbone of tomorrow's intelligent systems.
Our culture rewards audacious thinking and rigorous debate. We offer unparalleled resources for cutting-edge research, flexible hybrid work arrangements, and opportunities to present at international ethics summits. This isn't just a job—it's your chance to define humanity's relationship with artificial intelligence.
Responsibilities
- Design and implement ethical AI governance frameworks aligned with 2026 technological capabilities
- Lead cross-functional working groups on algorithmic bias mitigation and fairness protocols
- Develop real-time monitoring systems for emerging AI risks (autonomous systems, synthetic media)
- Advocate for ethical standards in quantum AI and neuromorphic computing research
- Author position papers for UN AI Ethics Council and OECD technology forums
- Mentor junior researchers in applied ethics and responsible innovation methodologies
- Partner with legal teams to preempt regulatory challenges in emerging AI domains
Qualifications
- PhD in Ethics, Philosophy of Technology, or Cognitive Science with 5+ years AI governance experience
- Published research on algorithmic fairness or AI alignment problems
- Deep expertise in EU AI Act, NIST AI RMF, and global ethics frameworks
- Technical proficiency in AI model auditing tools (e.g., IBM Fairness 360, Google What-If Tool)
- Experience testifying before legislative bodies or regulatory committees
- Portfolio demonstrating complex ethical system design for autonomous technologies
- Fluency in at least one programming language (Python preferred) for technical validation