Job Description
Shape the future of responsible AI at Nexus Analytics! We're pioneering the next wave of ethical AI governance and are seeking a visionary AI Ethics Compliance Specialist to join our Austin-based innovation hub. As regulations evolve and societal demands intensify, you'll architect our compliance framework, ensuring our AI systems align with global ethical standards while driving business innovation. This role sits at the intersection of technology, policy, and human values, offering unparalleled impact in one of tech's most critical growth areas.
Why Join Us?
- Lead cutting-edge AI ethics initiatives with Fortune 500 clients
- Access exclusive partnerships with federal AI regulatory bodies
- Competitive equity package in a rapidly scaling AI unicorn
- Hybrid work model with collaborative Austin tech hub access
Responsibilities
- Design and implement AI ethics compliance frameworks aligned with NIST AI RMF and EU AI Act
- Conduct bias audits and fairness assessments across machine learning pipelines
- Develop risk mitigation protocols for high-stakes AI deployments (healthcare, finance, autonomous systems)
- Collaborate with engineering teams to embed ethical guardrails in MLOps workflows
- Produce compliance documentation for regulatory submissions and stakeholder communications
- Lead cross-functional ethics committees with legal, product, and research teams
- Monitor emerging AI regulations and adapt compliance strategies proactively
Qualifications
- Advanced degree in Ethics, Computer Science, Public Policy, or related field (Master's or PhD preferred)
- 3+ years in AI governance, compliance, or responsible tech roles
- Deep understanding of global AI regulatory landscapes (EU AI Act, NIST RMF, state-level laws)
- Technical proficiency in Python and familiarity with ML frameworks (TensorFlow, PyTorch)
- Certification in AI ethics (e.g., IEEE Ethics Certification, Google Responsible AI)
- Experience with bias detection tools (Aequitas, IBM AI Fairness 360)
- Exceptional communication skills for translating complex ethical concepts to technical/non-technical audiences