Job Description
Join Nexus Future Labs at the forefront of responsible AI development as we shape the ethical frameworks for 2026 and beyond. We're seeking a visionary AI Ethics & Governance Lead to architect sustainable AI solutions that balance innovation with human values. This role sits at the intersection of technology policy, machine learning, and societal impact, driving our mission to create equitable AI systems that empower communities while mitigating existential risks.
In this pivotal position, you'll collaborate with C-suite executives, research scientists, and global policymakers to establish industry-first ethical standards. Our dynamic team operates in a state-of-the-art facility overlooking the Bay, offering unparalleled opportunities to influence the trajectory of artificial intelligence development. We provide comprehensive benefits including equity packages, wellness stipends, and flexible work arrangements.
Responsibilities
- Develop and implement comprehensive AI ethics frameworks aligned with evolving regulatory landscapes
- Lead cross-functional audits of AI systems for bias, fairness, and transparency
- Establish governance protocols for high-stakes AI deployments in healthcare and finance
- Represent the company at international AI ethics summits and policy forums
- Design training programs for technical teams on responsible AI development practices
- Conduct scenario planning for emerging AI risks and mitigation strategies
- Pioneer research on quantum ethics and next-generation AI consciousness
Qualifications
- PhD in Ethics, Philosophy, Computer Science, or related field with 7+ years experience
- Proven track record in establishing AI governance frameworks for Fortune 500 companies
- Expertise in regulatory compliance (EU AI Act, NIST AI RMF, ISO 42001)
- Published research in top-tier journals on AI ethics or algorithmic fairness
- Experience testifying before congressional committees on technology policy
- Proficiency in auditing machine learning models for bias and explainability
- Deep understanding of emergent technologies (quantum computing, AGI, neuro-interfaces)