Job Description
Join Nexus AI Labs at the forefront of ethical AI development. We're seeking a visionary AI Ethics Strategist to shape the responsible future of artificial intelligence. In this pivotal role, you'll architect governance frameworks for next-gen AI systems, ensuring alignment with human values and regulatory compliance. Work directly with C-suite executives to embed ethical safeguards into autonomous technologies, quantum computing interfaces, and generative AI platforms. This is your chance to influence how humanity interacts with AI at scale.
We offer unparalleled opportunities to pioneer industry standards while collaborating with Nobel laureates and Turing Award winners. Our state-of-the-art facility in San Francisco's tech corridor provides the perfect environment for groundbreaking work that will define 2026's AI landscape.
Responsibilities
- Develop comprehensive AI ethics frameworks for autonomous systems and generative models
- Conduct bias audits and fairness assessments across AI development pipelines
- Advise product teams on ethical AI implementation and regulatory compliance
- Author thought leadership papers on AI governance and responsible innovation
- Lead cross-functional ethics committees with engineers, policymakers, and ethicists
- Design transparency protocols for AI decision-making processes
- Collaborate with legal teams on emerging AI legislation and industry standards
- Mentor junior ethicists and foster organizational ethical literacy
Qualifications
- PhD or Master's in Ethics, Philosophy, Computer Science, or related field
- 5+ years experience in AI ethics, responsible AI, or technology governance
- Deep expertise in bias mitigation and fairness metrics for ML systems
- Proven track record influencing corporate AI policy and product design
- Published research in AI ethics or technology ethics journals
- Familiarity with global AI regulations (EU AI Act, NIST frameworks)
- Exceptional communication skills for technical and non-technical stakeholders
- Experience with quantum computing or generative AI ethics challenges