Job Description
Join Nexus Innovations at the forefront of ethical AI development. We're seeking a visionary AI Ethics Strategist to shape our 2026 roadmap for responsible AI deployment. This pivotal role bridges cutting-edge technology with human-centric ethics, ensuring our AI systems advance humanity while safeguarding against unintended consequences.
As a thought leader in our Ethical AI Division, you'll collaborate with quantum computing researchers, neuroscientists, and policy experts to develop frameworks that will govern AI's societal impact. You'll influence product development from ideation to deployment, ensuring our innovations align with evolving ethical standards and regulatory landscapes.
This is more than a job – it's your chance to define how humanity coexists with superintelligent AI by 2026. If you're passionate about creating a future where technology serves humanity's best interests, we invite you to lead this transformative journey.
Responsibilities
- Design and implement ethical governance frameworks for autonomous systems and quantum AI applications
- Lead cross-functional ethics audits of AI development pipelines
- Partner with regulatory bodies to shape 2026+ AI legislation and compliance standards
- Develop bias mitigation protocols for next-generation neural networks
- Create transparency protocols for explainable AI (XAI) in high-stakes domains
- Conduct scenario planning for AI existential risk mitigation strategies
- Mentor junior researchers in applied ethics and responsible innovation
Qualifications
- PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years applied AI ethics experience
- Proven track record developing ethical frameworks for autonomous systems
- Expertise in emerging technologies: quantum computing, neuromorphic chips, AGI safety
- Deep understanding of global AI regulatory landscapes (EU AI Act, US AI Bill of Rights)
- Published research in top-tier ethics or AI journals
- Experience testifying before congressional technology committees
- Certification in AI Risk Assessment from recognized bodies (e.g., IEEE, ACM)