Job Description
Join Nexus Intelligence Labs at the forefront of ethical AI development. As we build the infrastructure for 2026's digital landscape, we seek an AI Ethicist to shape responsible AI frameworks that balance innovation with human values. You'll lead cross-functional teams to audit AI systems, develop ethical guidelines, and ensure compliance with emerging global standards. This role offers unparalleled impact in defining how humanity interacts with artificial intelligence in the coming decade.
Our ideal candidate thrives at the intersection of technology and philosophy, bringing deep expertise in machine learning ethics, policy development, and stakeholder engagement. You'll collaborate with Nobel laureates and industry pioneers to create auditable AI systems that prioritize transparency, fairness, and human agency.
Responsibilities
- Design and implement ethical frameworks for next-generation AI systems deployed in critical infrastructure
- Conduct bias audits and algorithmic impact assessments for autonomous decision-making systems
- Develop industry-leading AI governance policies aligning with 2026 regulatory predictions
- Lead stakeholder workshops with policymakers, engineers, and ethicists to establish consensus standards
- Proactively identify emerging ethical risks in generative AI and quantum computing applications
- Author white papers and thought leadership pieces on AI ethics for global policy forums
Qualifications
- PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years in AI ethics
- Proven experience implementing bias mitigation in ML pipelines for Fortune 500 companies
- Expertise in regulatory frameworks (EU AI Act, NIST AI RMF, OECD Principles)
- Deep understanding of quantum computing implications for AI ethics
- Published research in top-tier journals on algorithmic fairness or explainable AI
- Experience leading cross-functional ethics committees with technical and non-technical stakeholders
- Proficiency in Python for ethical auditing tools and bias detection methodologies