Job Description
Join Nexus Dynamics at the forefront of ethical AI innovation as we shape the responsible future of technology. We're seeking a visionary AI Ethics & Governance Lead to architect frameworks that ensure AI systems align with human values and societal needs in our 2026 roadmap. This role bridges cutting-edge research with practical implementation, requiring you to collaborate with quantum computing teams, neuro-symbolic AI specialists, and global policymakers. You'll pioneer audit protocols for autonomous systems, develop bias mitigation strategies for generative models, and establish industry standards for sentient AI accountability.
Our Austin hub operates at the intersection of emerging technologies and ethical foresight, offering unparalleled resources to translate theoretical principles into deployable safeguards. If you're passionate about ensuring AI serves humanity's best interests while accelerating technological progress, this is your opportunity to define the ethical backbone of tomorrow's digital ecosystem.
Responsibilities
- Design and implement ethical governance frameworks for autonomous AI systems deployed in healthcare, finance, and critical infrastructure
- Lead cross-functional audits of quantum AI models to identify bias, transparency gaps, and unintended consequences
- Develop real-time monitoring systems for AI decision-making processes using explainable AI techniques
- Collaborate with neuro-symbolic AI researchers to create value-aligned training datasets and loss functions
- Establish international standards for AI ethics through partnerships with IEEE, WEF, and regulatory bodies
- Train engineering teams on responsible AI development practices and ethical deployment protocols
- Author whitepapers on AI existential risks and mitigation strategies for 2026+ technology landscapes
Qualifications
- PhD in Computer Science, Philosophy, Ethics, or related field with 8+ years in AI governance
- Expertise in implementing EU AI Act, NIST AI RMF, and ISO/IEC 42001 frameworks
- Published research on algorithmic bias mitigation or value alignment techniques
- Experience with quantum computing ethics and hybrid AI-neural-symbolic systems
- Proven ability to translate ethical principles into technical requirements for engineering teams
- Strong background in risk assessment for high-stakes AI applications (autonomous vehicles, medical diagnostics)
- Fluency in Python, TensorFlow/PyTorch, and explainable AI visualization tools