Job Description
Join Nexus Innovations as a pioneering AI Ethics Strategist to architect the ethical framework for 2026. We're seeking a visionary leader to navigate the intersection of artificial intelligence, human values, and emerging technologies. This role demands a forward-thinker who will proactively design governance protocols, bias mitigation strategies, and transparent AI deployment standards that will define responsible innovation in the next decade. You'll collaborate with cross-functional teams to embed ethics into AI lifecycles while influencing industry-wide standards.
As a cornerstone of our Responsible AI Division, you'll shape policies that balance technological advancement with societal impact, ensuring our innovations empower humanity while mitigating risks. This is your opportunity to leave an indelible mark on the ethical landscape of AI before 2026 arrives.
Responsibilities
- Develop and implement comprehensive AI ethics frameworks aligned with 2026 regulatory landscapes
- Lead cross-functional audits of AI systems for bias, fairness, and transparency
- Design governance protocols for generative AI and autonomous decision systems
- Conduct scenario planning for emerging AI risks (deepfakes, autonomous weapons, etc.)
- Partner with product teams to embed ethics-by-design principles
- Author thought leadership on AI ethics for industry publications and conferences
- Establish stakeholder engagement protocols for public AI discourse
- Monitor global AI policy developments and recommend strategic adjustments
Qualifications
- Advanced degree in Ethics, Philosophy, Computer Science, or related field
- 5+ years in AI governance, ethics, or responsible technology roles
- Proven experience developing AI bias mitigation frameworks
- Deep understanding of EU AI Act, NIST AI RMF, and evolving regulations
- Expertise in ethical design principles for generative AI systems
- Strong background in risk assessment methodologies for emerging tech
- Exceptional communication skills for technical and non-technical audiences
- Published work on AI ethics or technology policy preferred