Job Description
Join NexusAI Solutions at the forefront of responsible AI development. As we pioneer next-generation autonomous systems and quantum computing applications, we seek an AI Ethics & Governance Specialist to shape ethical frameworks that will define 2026's technological landscape. You'll collaborate with cross-functional teams to ensure our innovations align with evolving global regulations and societal values while maintaining competitive advantage.
This role offers unparalleled opportunity to influence the future of AI governance, working with Fortune 500 clients and academic partners to develop industry-first ethical protocols. You'll lead initiatives at our state-of-the-art San Francisco headquarters, equipped with cutting-edge research facilities and a team of world-class AI researchers.
Responsibilities
- Develop and implement comprehensive AI ethics frameworks for autonomous systems and quantum AI applications
- Conduct bias audits and impact assessments for AI models using advanced statistical methodologies
- Collaborate with legal teams to ensure compliance with evolving international AI regulations (EU AI Act, US AI Bill of Rights)
- Design transparency protocols for explainable AI (XAI) systems across enterprise solutions
- Lead stakeholder workshops with C-suite executives, regulators, and ethics boards
- Establish continuous monitoring systems for AI system fairness and accountability
- Author industry whitepapers on emerging ethical challenges in quantum computing
Qualifications
- Master's degree in AI Ethics, Philosophy, Computer Science, or related field (PhD preferred)
- 5+ years experience in AI governance, responsible AI, or tech ethics roles
- Deep expertise in bias mitigation techniques and fairness metrics for ML systems
- Familiarity with global AI regulatory frameworks (OECD, IEEE, NIST AI RMF)
- Proven experience developing corporate AI ethics policies and audit protocols
- Strong background in quantum computing ethics or autonomous systems governance
- Exceptional communication skills for translating technical concepts to non-technical stakeholders
- Published research in AI ethics or relevant conference presentations