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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

Nexus Horizons
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Horizons at the forefront of shaping ethical AI frameworks for 2026. We're pioneering responsible AI development and seeking a visionary leader to architect governance systems that balance innovation with human values. This role combines cutting-edge technical expertise with strategic policy design, ensuring our AI ecosystem thrives ethically while driving breakthrough solutions.

As part of our Ethics & Governance team, you'll collaborate with quantum computing specialists and neural network architects to develop auditable, transparent AI systems. You'll influence industry standards and lead cross-functional initiatives that define how humanity interacts with autonomous systems in the coming decade.

Responsibilities

  • Design and implement ethical AI governance frameworks for autonomous systems
  • Lead cross-functional audits of machine learning models for bias mitigation
  • Develop policy blueprints for regulatory compliance in quantum-AI integration
  • Coordinate with government bodies on AI ethics legislation
  • Train engineering teams on responsible AI development practices
  • Establish KPIs for ethical AI performance and transparency
  • Pioneer research on human-AI symbiosis in 2026 technology landscapes

Qualifications

  • PhD in AI Ethics, Computer Science, or related field with 5+ years' experience
  • Proven track record in designing AI governance frameworks for autonomous systems
  • Expertise in bias detection algorithms and fairness metrics
  • Deep understanding of quantum computing's ethical implications
  • Experience collaborating with regulatory bodies (e.g., NIST, IEEE)
  • Strong background in policy development for emerging technologies
  • Certification in Responsible AI (e.g., Google, Microsoft programs)

Required Skills

AI Ethics Quantum Computing Governance Policy Development Bias Mitigation Regulatory Compliance Machine Learning Audits Human-Centered AI

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