Job Description
Join Nexus Dynamics at the forefront of ethical AI development as we shape responsible innovation for 2026. We seek a visionary AI Ethics & Governance Lead to establish frameworks ensuring our autonomous systems align with human values. This pivotal role bridges technical teams and policymakers to create auditable, transparent AI ecosystems that drive sustainable growth while mitigating societal risks.
You'll architect governance protocols for next-generation neural networks, conduct bias audits across training datasets, and develop real-time ethical monitoring systems. Our Austin hub offers unparalleled resources including quantum-secure computing labs and partnerships with global regulatory bodies. If you're passionate about democratizing AI accountability while maintaining competitive advantage, this is your chance to define the ethical backbone of tomorrow's digital infrastructure.
Responsibilities
- Design and implement enterprise-wide AI ethics frameworks aligned with 2026 regulatory standards
- Lead cross-functional audits of algorithmic decision systems for fairness and transparency
- Develop continuous monitoring protocols for model drift and emerging ethical risks
- Collaborate with product teams to embed ethical guardrails in AI development lifecycles
- Establish stakeholder engagement protocols including public consultations and regulatory reporting
- Author governance blueprints for autonomous systems in regulated industries
- Train technical teams on responsible AI implementation through immersive workshops
Qualifications
- Master's degree in Ethics, Computer Science, Law, or related field with 5+ years in AI governance
- Proven experience developing regulatory frameworks for autonomous systems or large-scale ML
- Deep expertise in bias mitigation techniques for neural networks and generative AI
- Proficiency in audit tools like IBM AI Fairness 360 or Google's What-If Tool
- Strong knowledge of evolving global AI regulations (EU AI Act, US NIST frameworks)
- Exceptional communication skills translating technical concepts to diverse stakeholders
- Published work on algorithmic accountability or responsible AI deployment