Job Description
Join Nexus Future Labs at the forefront of ethical AI innovation as we redefine responsible technology for 2026 and beyond. We're seeking a visionary AI Ethics & Governance Lead to architect frameworks that ensure AI systems align with human values, privacy, and societal benefit. This role sits at the intersection of cutting-edge research and real-world implementation, shaping how autonomous systems, generative AI, and quantum computing evolve ethically. You'll collaborate with world-class researchers, policymakers, and engineers to build guardrails that prevent algorithmic bias, ensure transparency, and maintain public trust in transformative technologies.
Our ideal candidate thrives in ambiguity, champions ethical innovation, and possesses deep technical fluency in AI systems. You'll drive initiatives from concept to deployment while influencing industry standards through thought leadership. This is a rare opportunity to shape the future of human-AI collaboration at a company that's already prototyping the technologies that will define 2026.
Responsibilities
- Design and implement AI ethics governance frameworks for autonomous systems and generative models
- Conduct bias audits and risk assessments across machine learning pipelines
- Develop ethical guidelines for quantum computing applications and neural interfaces
- Lead cross-functional working groups on responsible AI deployment
- Advocate for ethical AI standards in industry forums and regulatory discussions
- Create transparency tools for explainable AI (XAI) systems
- Train engineers and product teams on ethical AI development practices
Qualifications
- Master's degree in Computer Science, Ethics, Philosophy, or related field (PhD preferred)
- 5+ years in AI ethics, governance, or responsible technology roles
- Expertise in bias detection, fairness metrics, and algorithmic accountability
- Deep understanding of emerging AI trends (AGI, quantum ML, neural interfaces)
- Experience developing AI ethics policies for Fortune 500 companies
- Strong technical background in machine learning pipelines
- Published research in AI ethics or technology ethics journals
- Certification in AI governance (e.g., IEEE Ethically Aligned Design)