Job Description
Join Nexus Quantum Solutions at the forefront of responsible AI innovation. As a 2026 AI Ethics Architect, you'll design frameworks that shape the ethical backbone of tomorrow's autonomous systems. This role merges technical mastery with philosophical foresight, ensuring our quantum-driven AI solutions align with human values in an increasingly automated world. You'll lead cross-disciplinary teams to audit algorithmic fairness, develop bias mitigation protocols, and pioneer transparency standards for generative AI deployed in critical infrastructure.
We seek visionaries who thrive at the intersection of technology and ethics. Our San Francisco hub offers unparalleled resources to reimagine digital responsibility while collaborating with Nobel laureates and industry pioneers. This isn't just a job—it's your chance to architect the ethical foundations of 2026's technological landscape.
Responsibilities
- Design and implement ethical AI governance frameworks for quantum computing applications
- Lead bias audits of generative AI models using advanced statistical analysis
- Develop real-time monitoring systems for algorithmic fairness in autonomous systems
- Collaborate with legal teams to establish compliance protocols for emerging AI regulations
- Create educational materials for engineers on responsible AI development practices
- Present ethical impact assessments to C-suite executives and regulatory bodies
- Research cutting-edge philosophical approaches to machine consciousness and rights
Qualifications
- PhD in Computer Science, Philosophy, or related field with AI specialization
- 5+ years in AI ethics governance or responsible AI development
- Published research on algorithmic bias mitigation or explainable AI
- Expertise in quantum computing principles and their ethical implications
- Experience with regulatory frameworks (EU AI Act, NIST AI RMF)
- Strong background in statistical modeling and machine learning interpretability
- Proven ability to lead cross-functional technical teams
- Deep understanding of existential risk assessment in AI development