Job Description
Join Nexus Future Labs at the forefront of ethical AI development as we shape the future of responsible technology. As an AI Ethics & Governance Specialist, you'll design and implement robust ethical frameworks for cutting-edge AI systems deployed in healthcare, autonomous vehicles, and financial services. This pivotal role bridges technical innovation with moral responsibility, ensuring our AI solutions advance humanity while safeguarding against bias, transparency risks, and societal harm.
We're seeking visionary leaders passionate about building equitable AI ecosystems. You'll collaborate with cross-functional teams including machine learning engineers, product managers, and legal experts to audit algorithms, develop compliance protocols, and pioneer industry standards for 2026's AI landscape. Our mission: to create technology that serves humanity's highest aspirations.
Responsibilities
- Design and implement comprehensive AI ethics governance frameworks aligned with emerging global regulations
- Conduct bias audits and impact assessments for high-stakes AI systems using advanced statistical methods
- Develop transparent explainability protocols for complex neural networks and generative AI models
- Create stakeholder engagement strategies for diverse communities affected by AI deployments
- Lead cross-functional ethics committees to resolve ethical dilemmas in product development cycles
- Author industry white papers and contribute to international AI ethics standards bodies
- Mentor junior engineers on responsible AI development practices and ethical coding standards
Qualifications
- Master's degree in Computer Science, Ethics, Philosophy, Law, or related field (PhD preferred)
- 5+ years of experience in AI governance, ethics compliance, or responsible technology development
- Deep expertise in bias mitigation techniques for machine learning systems
- Proven track record of developing organizational ethics policies and compliance frameworks
- Familiarity with EU AI Act, NIST AI Risk Management Framework, and global AI regulations
- Exceptional communication skills for translating complex ethical concepts to technical teams
- Experience with algorithmic auditing tools (e.g., IBM AI Fairness 360, Google What-If Tool)
- Published work in AI ethics or demonstrated thought leadership in responsible AI forums