Job Description
Join NeuraVision Dynamics at the forefront of ethical AI innovation as we shape the responsible future of artificial intelligence. As our AI Ethics & Governance Lead, you'll architect frameworks that balance technological advancement with human values. This pivotal role demands visionary leadership in developing ethical AI policies, ensuring compliance with emerging regulations, and guiding cross-functional teams through complex moral dilemmas. You'll collaborate with quantum computing researchers, neuroscientists, and policy experts to create auditable AI systems that prioritize transparency, fairness, and societal benefit. If you're passionate about harnessing AI's potential while safeguarding humanity, this is your opportunity to define industry standards for the 2026 digital landscape.
Responsibilities
- Develop and implement comprehensive AI ethics governance frameworks aligned with IEEE 7000 and EU AI Act standards
- Conduct algorithmic bias audits and fairness assessments across machine learning pipelines
- Lead cross-functional workshops to align technical teams on ethical AI development principles
- Author position papers on emerging AI ethics challenges for regulatory bodies and industry forums
- Establish continuous monitoring systems for AI system transparency and accountability
- Collaborate with legal teams to navigate evolving AI legislation and compliance requirements
- Mentor junior engineers in responsible AI development practices
Qualifications
- Master's degree in Computer Science, Philosophy, Ethics, or related field (PhD preferred)
- 5+ years of experience in AI ethics, governance, or responsible AI implementation
- Deep understanding of machine learning architectures and their ethical implications
- Proven track record of developing enterprise-level AI governance policies
- Expertise in bias mitigation techniques and fairness metrics (e.g., disparate impact analysis)
- Familiarity with quantum computing ethics and neuromorphic system limitations
- Strong public speaking skills for presenting complex ethical concepts to diverse audiences
- Published work in AI ethics journals or conference proceedings