Job Description
Shape the future of responsible AI at Nexus Global Solutions. We're seeking an AI Ethics & Governance Lead to architect ethical frameworks for autonomous systems deployed in 2026 and beyond. Join our cross-disciplinary team in Austin, where innovation meets integrity, to define industry standards for transparent, accountable, and equitable AI deployment.
This pivotal role bridges technical teams, policymakers, and stakeholders to ensure our AI solutions align with evolving regulatory landscapes and societal expectations. You'll influence product roadmaps while championing human-centric design principles in an environment that values bold thinking and ethical rigor.
Responsibilities
- Develop and implement comprehensive AI ethics frameworks aligned with NIST, EU AI Act, and emerging 2026 regulatory standards
- Conduct bias audits and impact assessments for autonomous systems and generative AI models
- Lead stakeholder engagement with policymakers, industry consortiums, and civil society groups
- Create governance protocols for AI lifecycle management from development to decommissioning
- Train technical teams on responsible AI practices and ethical decision-making frameworks
- Author whitepapers and position papers on AI ethics for regulatory submissions
- Monitor global AI policy developments and adapt compliance strategies proactively
Qualifications
- Advanced degree in Ethics, Philosophy, Computer Science, Law, or related field with 8+ years experience
- Proven track record in AI governance frameworks (e.g., Responsible AI, Algorithmic Accountability Act)
- Deep understanding of bias mitigation techniques in machine learning pipelines
- Experience with regulatory compliance in tech (GDPR, CCPA, or equivalent)
- Exceptional communication skills for translating technical concepts to non-technical audiences
- Published work on AI ethics or governance in peer-reviewed journals or industry forums
- Expertise in cross-functional collaboration between engineering, legal, and policy teams
- Certification in AI ethics (e.g., IEEE, ACM) preferred