Job Description
Are you ready to define the future of humanity in 2026?
Nexus Horizon is pioneering the next generation of sentient AI systems. As we approach the pivotal year of 2026, we are seeking a visionary Lead AI Ethics & Strategy Architect to ensure our technologies align with the highest standards of humanity. This is not just a job; it is a mission to build trust, safety, and transparency in the age of Artificial General Intelligence.
In this role, you will act as the moral compass for our engineering teams, bridging the gap between complex algorithmic outputs and societal impact. You will shape the governance frameworks that will define the industry standard for the next decade.
Why Join Us?
- Future-Ready Environment: Work on cutting-edge projects that are currently shaping the roadmap for 2026.
- Impactful Work: Your decisions will directly influence the ethical deployment of AI globally.
- Competitive Compensation: We offer a top-tier salary and equity package in the heart of the tech capital.
Responsibilities
- Design and implement comprehensive ethical frameworks for AI models, specifically focusing on bias mitigation, fairness, and accountability.
- Collaborate directly with Research Scientists and ML Engineers to integrate ethical constraints into the training pipeline.
- Conduct rigorous risk assessments on new AI capabilities before deployment to ensure public safety.
- Develop and lead internal training programs to foster a culture of ethical responsibility across all technical teams.
- Advocate for responsible AI governance to stakeholders, regulators, and the wider public community.
- Monitor emerging global regulations and industry standards to ensure Nexus Horizon remains ahead of compliance curves.
Qualifications
- Master’s degree or PhD in Philosophy, Computer Science, Law, or a related field with a focus on Ethics/AI.
- Minimum of 5 years of experience in AI ethics, policy development, or regulatory compliance within the tech industry.
- Deep technical understanding of Machine Learning models, Natural Language Processing (NLP), and Deep Learning architectures.
- Exceptional ability to translate complex technical concepts into clear, actionable policy recommendations.
- Proven track record of leading cross-functional teams and influencing technical roadmaps.
- Strong analytical mindset with the ability to anticipate long-term societal impacts of technology.