Job Description
Join Nexus Future Labs at the forefront of shaping humanity's relationship with artificial intelligence. As a 2026 AI Ethicist, you'll pioneer responsible innovation frameworks for next-generation AI systems. This pivotal role demands a visionary thinker who can navigate the ethical complexities of autonomous decision-making, bias mitigation, and human-AI symbiosis. You'll collaborate with quantum computing researchers and neuroscientists to build guardrails for AI that aligns with human values while driving unprecedented technological progress.
We offer a dynamic environment where your insights directly influence the ethical foundations of our AI infrastructure. You'll lead cross-disciplinary initiatives, publish whitepapers, and advise executive teams on ethical AI deployment strategies. If you're passionate about ensuring AI serves humanity's best interests while accelerating innovation, this is your opportunity to define the ethical blueprint for 2026.
Responsibilities
- Develop and implement ethical governance frameworks for autonomous AI systems and quantum-integrated decision engines.
- Conduct bias audits and fairness assessments across AI training datasets and algorithmic outputs.
- Lead stakeholder workshops to establish human-centric AI design principles and ethical deployment protocols.
- Author position papers and industry standards for responsible AI development in partnership with IEEE and ACM.
- Monitor emerging AI regulations and geopolitical policy shifts to ensure compliance and strategic positioning.
- Collaborate with neuroscientists to design ethical neural interfaces and human-AI co-creation frameworks.
- Advise product teams on ethical risk mitigation for generative AI and predictive analytics solutions.
Qualifications
- PhD in Ethics, Philosophy of Technology, AI Governance, or equivalent professional certification (e.g., CECP, CSEP).
- Minimum 7 years experience in AI ethics, responsible AI, or technology policy with Fortune 500 or research institutions.
- Deep expertise in bias mitigation algorithms and fairness metrics (e.g., AIF360, IBM AI Fairness 360).
- Published author in peer-reviewed journals or industry publications on AI ethics or future technology governance.
- Proficiency in quantum computing fundamentals and neuro-symbolic AI architectures.
- Experience designing ethical AI frameworks for regulated industries (healthcare, finance, autonomous systems).
- Exceptional communication skills with ability to translate complex ethical concepts for technical and non-technical stakeholders.