Job Description
Are you ready to define the moral compass of the technological revolution in 2026? Nova Horizon Innovations is seeking a visionary Senior Strategic Futurist & AI Ethics Lead to join our elite team in San Francisco.
In this pivotal role, you will not just predict the future; you will architect it. We are looking for a thought leader who can navigate the complex intersection of artificial intelligence, machine learning, and societal impact. As we accelerate towards a post-singularity era, your insights will be critical in ensuring our innovations remain beneficial, transparent, and aligned with human values.
Why Join Us?
- Work at the bleeding edge of Generative AI and Large Language Models.
- Shape policy for the next decade of technology.
- Competitive equity and a top-tier benefits package.
Responsibilities
- Lead AI Governance Frameworks: Develop and implement comprehensive ethical guidelines for our AI models, specifically focusing on bias mitigation and transparency for 2026 deployments.
- Future-Proofing Strategy: Conduct long-term horizon scanning to identify emerging AI risks and opportunities, advising C-Suite leadership on strategic pivots.
- Stakeholder Alignment: Serve as the primary liaison between engineering, legal, and external regulatory bodies to ensure compliance with evolving global tech standards.
- Thought Leadership: Author white papers and speak at industry conferences to establish the company as a trusted authority in responsible AI.
- Risk Assessment: Oversee the creation of 'Red Teaming' protocols for our generative AI systems to simulate adversarial attacks and ensure robustness.
Qualifications
- Experience: 7+ years of experience in AI ethics, policy, or a related field within the technology sector.
- Technical Fluency: Deep understanding of Machine Learning concepts, Neural Networks, and the current limitations of LLMs.
- Strategic Vision: Proven track record of translating complex technical concepts into actionable business strategies.
- Communication: Exceptional ability to articulate complex ethical dilemmas to non-technical audiences and policymakers.
- Education: Master’s degree or PhD in Philosophy, Computer Science, Law, or a related quantitative field is preferred.