Job Description
Join Nexus Future Labs at the forefront of shaping ethical AI frameworks for 2026. We're seeking a visionary AI Ethics Lead to architect responsible AI systems that balance technological advancement with human values. In this pivotal role, you'll define ethical standards, conduct bias audits, and collaborate with cross-functional teams to embed fairness, transparency, and accountability into AI lifecycle management.
Our cutting-edge research division pioneers solutions for autonomous systems, generative AI, and predictive analytics. You'll work alongside world-class engineers, ethicists, and policy experts to develop industry-first governance frameworks that will shape the future of AI deployment across healthcare, finance, and critical infrastructure.
We offer competitive compensation, equity packages, and unparalleled opportunities to influence global AI ethics standards. If you're passionate about building technology that serves humanity while mitigating existential risks, we invite you to lead our charge into the ethical frontier of 2026.
Responsibilities
- Design and implement comprehensive AI ethics frameworks aligned with 2026 regulatory landscapes
- Conduct bias audits and fairness assessments for high-stakes AI systems
- Develop explainable AI (XAI) methodologies to ensure transparency in autonomous decisions
- Collaborate with engineering teams to embed ethical guardrails in ML pipelines
- Lead stakeholder workshops to align technical teams with ethical priorities
- Author industry whitepapers on AI governance and responsible innovation
- Monitor emerging AI risks and propose mitigation strategies for 2026+ scenarios
- Advocate for inclusive design practices in generative AI development
Qualifications
- Advanced degree in AI Ethics, Philosophy, Computer Science, or related field
- 5+ years experience in AI governance, compliance, or ethical technology roles
- Proven expertise in bias mitigation and fairness metrics for ML systems
- Deep understanding of global AI regulations (EU AI Act, NIST frameworks)
- Strong background in explainable AI (XAI) and interpretability techniques
- Experience leading cross-functional ethics initiatives in tech organizations
- Published research or thought leadership on AI ethics or responsible innovation
- Ability to communicate complex ethical concepts to diverse stakeholders