Job Description
Shape the future of responsible AI at NexusTech Innovations. As a premier AI solutions provider, we're seeking an AI Ethics Governance Specialist to lead our ethical AI framework development as we approach 2026. This pivotal role requires a visionary leader to navigate the complex intersection of artificial intelligence, regulatory compliance, and societal impact. You'll architect our next-generation governance protocols, ensuring our autonomous systems align with evolving ethical standards while driving innovation.
Join our interdisciplinary team of engineers, ethicists, and policy experts in Austin's thriving tech ecosystem. We offer competitive compensation, cutting-edge resources, and the opportunity to influence global AI standards. Your work will directly impact how billions interact with AI technologies in the coming decade.
Responsibilities
- Design and implement comprehensive AI ethics governance frameworks aligned with 2026 regulatory projections
- Lead cross-functional risk assessments for autonomous systems and machine learning models
- Develop bias mitigation protocols and fairness validation methodologies
- Collaborate with legal teams to ensure compliance with emerging AI regulations (e.g., EU AI Act, US AI Bill of Rights)
- Establish stakeholder engagement protocols for transparent AI decision-making processes
- Conduct horizon scanning for ethical AI trends and regulatory developments
- Train engineering teams on responsible AI development lifecycle integration
Qualifications
- Master's degree in Computer Science, Ethics, Data Science, or related field (PhD preferred)
- 5+ years in AI governance, ethics, or compliance with focus on emerging technologies
- Expertise in AI bias mitigation, explainable AI (XAI), and fairness metrics
- Proven experience with regulatory frameworks (GDPR, NIST AI RMF, EU AI Act)
- Strong analytical skills for evaluating complex ethical dilemmas in AI systems
- Certification in AI ethics or governance (e.g., IEEE Ethically Aligned Design)
- Experience with cross-functional collaboration between technical and non-technical teams