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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

Nexus Future Systems
Austin
Estimated Salary
USD 180.000 – USD 240.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Future Systems at the forefront of ethical AI development. We're pioneering responsible AI frameworks for 2026 and beyond, seeking visionary leaders to shape the future of human-machine collaboration. Our interdisciplinary team combines neuroscience, quantum computing, and behavioral science to create equitable AI systems.

This senior role offers unparalleled influence in defining global AI governance standards while working with Fortune 500 partners deploying next-generation neural interfaces. Enjoy hybrid work flexibility, unlimited professional development, and comprehensive benefits including equity in our fast-growing unicorn.

Responsibilities

  • Develop and implement AI ethics frameworks for autonomous systems and quantum neural networks
  • Lead cross-functional teams in bias mitigation for generative AI models
  • Advocate for transparent AI decision-making processes with regulatory bodies
  • Conduct risk assessments for emergent AI capabilities in 2026+ applications
  • Partner with legal teams to navigate evolving international AI legislation
  • Drive industry-wide initiatives for ethical AI adoption standards

Qualifications

  • PhD in AI Ethics, Machine Learning, or related field with 5+ years industry experience
  • Proven track record in AI governance frameworks (e.g., EU AI Act, NIST RMF)
  • Expertise in bias detection for generative models and neural interfaces
  • Published research in AI ethics or cognitive computing (peer-reviewed journals)
  • Experience advising Fortune 500 companies on responsible AI deployment
  • Certification in AI Risk Management (e.g., CARM, CAIML)
  • Deep understanding of quantum computing's ethical implications

Required Skills

AI Ethics Machine Learning Governance Quantum Computing Ethics Neural Interface Ethics Regulatory Compliance Generative AI Bias Mitigation Risk Assessment Policy Development

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