Job Description
Join Nexus Dynamics as a pioneering AI Ethics Compliance Specialist to shape the future of responsible artificial intelligence. As AI systems become increasingly integrated into critical infrastructure, we seek a visionary leader to develop and enforce ethical frameworks that align with emerging 2026 regulatory landscapes. You'll collaborate with cross-functional teams to ensure our AI solutions prioritize fairness, transparency, and human-centric design while navigating complex ethical dilemmas at the intersection of technology and society.
Our Austin-based innovation hub offers an environment where your expertise in AI ethics will directly influence industry standards. You'll work with cutting-edge machine learning models while safeguarding against bias, ensuring accountability, and advocating for ethical AI adoption across healthcare, finance, and autonomous systems. This role combines technical rigor with philosophical depth to redefine how companies approach AI responsibility.
Responsibilities
- Design and implement AI ethics governance frameworks aligned with 2026 regulatory requirements
- Conduct bias audits and fairness assessments for high-stakes AI systems
- Develop ethical review protocols for machine learning models across product lifecycle
- Partner with engineering teams to embed ethical safeguards into AI development pipelines
- Create stakeholder education programs on responsible AI deployment and compliance
- Monitor emerging AI legislation and ethical standards to update organizational policies
- Lead incident response protocols for AI ethics violations and transparency breaches
- Represent the organization in industry coalitions shaping future AI ethical guidelines
Qualifications
- Master's degree in Computer Science, Ethics, Philosophy, or related field (PhD preferred)
- 5+ years in AI governance, compliance, or responsible AI implementation
- Expertise in bias detection tools (e.g., IBM AI Fairness 360, Google What-If Tool)
- Deep understanding of evolving AI regulations (EU AI Act, NIST RMF, state-level laws)
- Proven experience developing organizational AI ethics policies and audit procedures
- Strong background in machine learning model interpretability techniques
- Certification in AI ethics (e.g., IEEE Ethically Aligned Design, Google Responsible AI)
- Exceptional communication skills for translating complex ethical concepts to technical teams