Job Description
Shape the future of artificial intelligence at NexusAI Solutions. We're seeking a pioneering 2026 AI Ethicist to architect responsible AI frameworks for tomorrow's breakthrough technologies. Join our interdisciplinary team where neuroscience meets machine learning to develop governance protocols that balance innovation with human values. This role sits at the intersection of policy, technology, and philosophy—perfect for visionaries who want to define how humanity coexists with advanced AI systems.
Our San Francisco hub offers unparalleled access to tech's brightest minds and cutting-edge research labs. You'll collaborate with quantum computing researchers, neuroscientists, and policy experts to build ethical guardrails for autonomous systems, generative AI, and cognitive computing platforms. If you're passionate about ensuring technological progress serves humanity's best interests, this is your calling.
Responsibilities
- Develop comprehensive ethical frameworks for next-generation AI systems including autonomous decision-making and generative content
- Conduct interdisciplinary research on AI alignment, bias mitigation, and human-AI interaction protocols
- Partner with engineering teams to implement ethical guardrails in ML pipelines and neural architectures
- Advise C-suite executives on regulatory compliance and ethical implications of AI deployments
- Lead scenario planning workshops to anticipate ethical challenges in quantum-AI convergence
- Publish thought leadership in peer-reviewed journals and industry whitepapers
- Mentor cross-functional teams on responsible AI principles and governance best practices
Qualifications
- PhD in Ethics, Philosophy, Computer Science, or Cognitive Neuroscience with AI specialization
- 5+ years in AI ethics, governance, or responsible technology development
- Expertise in bias detection algorithms and fairness metrics for neural networks
- Deep understanding of emerging AI domains: generative adversarial networks, neuromorphic computing, and quantum machine learning
- Experience with regulatory frameworks (EU AI Act, NIST AI RMF) and policy advocacy
- Proven ability to translate complex ethical concepts into technical requirements
- Public speaking experience at global forums on AI ethics and technology governance
- Portfolio demonstrating ethical AI implementations or research publications