Job Description
Join Nexus Future Labs at the forefront of responsible AI innovation. As we pioneer autonomous systems for 2026, we seek an AI Ethics & Governance Lead to shape ethical frameworks that balance technological advancement with human values. This role bridges cutting-edge research with practical implementation in sectors including healthcare, finance, and autonomous infrastructure. You'll collaborate with world-class AI researchers, policymakers, and industry leaders to develop auditable, transparent AI systems that prioritize fairness, accountability, and societal benefit.
We offer a dynamic environment where your expertise directly impacts how humanity navigates the AI revolution. Our Austin hub combines Silicon Valley energy with Texan ingenuity, fostering breakthroughs that set global standards.
Responsibilities
- Design and implement ethical governance frameworks for autonomous systems deployed in critical infrastructure
- Lead cross-functional audits of AI algorithms for bias, fairness, and transparency
- Develop regulatory compliance strategies anticipating 2026 global AI governance standards
- Establish stakeholder engagement protocols with policymakers, NGOs, and affected communities
- Create ethical risk assessment protocols for high-stakes AI deployments
- Mentor interdisciplinary teams in ethical AI principles and responsible innovation
- Author industry white papers positioning Nexus as an ethics thought leader
Qualifications
- PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years AI governance experience
- Proven track record designing ethical frameworks for autonomous systems or high-stakes AI
- Deep understanding of emerging AI regulations (EU AI Act, US AI Bill of Rights)
- Expertise in bias mitigation techniques and algorithmic transparency methods
- Experience collaborating with regulatory bodies and international standards organizations
- Strong background in risk assessment for complex technological systems
- Exceptional communication skills for translating ethical concepts to technical teams