Job Description
Join Nexus Horizon Labs at the forefront of ethical AI innovation as we shape responsible technology for 2026 and beyond. We seek a visionary AI Ethics Strategist to architect frameworks that balance cutting-edge AI capabilities with human-centered values. You'll lead cross-functional teams in developing governance protocols for autonomous systems, ensuring our AI solutions advance humanity while mitigating societal risks.
In this pivotal role, you'll collaborate with C-suite executives, research scientists, and policymakers to establish ethical guardrails for generative AI, predictive analytics, and autonomous decision-making systems. Our ideal candidate thrives at the intersection of technology philosophy and practical implementation, transforming abstract ethical principles into actionable engineering guidelines.
Responsibilities
- Design and implement comprehensive AI ethics frameworks aligned with 2026 regulatory landscapes
- Lead cross-functional audits of AI systems for bias mitigation, fairness, and transparency
- Develop stakeholder engagement protocols for public-private AI governance initiatives
- Create scenario-planning models for emerging AI risks (autonomous weapons, deepfakes, job displacement)
- Author thought leadership on responsible AI adoption for industry conferences and policy forums
- Mentor engineering teams in implementing ethical-by-design principles
- Establish KPIs for ethical AI performance across product lifecycles
Qualifications
- PhD or equivalent in AI Ethics, Philosophy of Technology, or related field with 8+ years' experience
- Proven track record in implementing enterprise-wide AI governance frameworks
- Expertise in regulatory landscapes (EU AI Act, NIST AI RMF, state-level AI bills)
- Published research on algorithmic bias mitigation or explainable AI techniques
- Experience testifying before legislative bodies on AI policy matters
- Technical proficiency in Python, TensorFlow/PyTorch for ethical auditing workflows
- Deep understanding of cross-cultural ethical frameworks in global contexts