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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Ethics Lead

Nexus Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of shaping humanity's technological future. We're seeking a visionary 2026 AI Ethics Lead to architect responsible AI frameworks that will define the next decade of innovation. This role bridges cutting-edge AI development with human-centric governance, ensuring our solutions advance society while safeguarding ethical boundaries.

As a pioneer in quantum-secure AI systems, you'll lead cross-functional teams to develop ethical guidelines for autonomous decision-making, bias mitigation protocols, and transparent AI governance frameworks. The ideal candidate thrives at the intersection of technology and philosophy, with a passion for designing systems that empower humanity.

Responsibilities

  • Architect AI ethics frameworks for 2026 autonomous systems deployment
  • Lead bias mitigation initiatives across ML pipelines and generative models
  • Develop quantum-secure transparency protocols for AI decision auditing
  • Collaborate with policy teams on AI governance standards and regulatory compliance
  • Design human-in-the-loop systems for high-stakes AI applications
  • Establish ethical review boards for cross-functional AI projects
  • Pioneer industry-wide responsible AI benchmarking metrics

Qualifications

  • PhD in AI Ethics, Philosophy of Technology, or related field (MS + 8 years experience accepted)
  • Proven track record in implementing AI governance frameworks at scale
  • Expertise in bias detection/mitigation techniques across diverse datasets
  • Deep understanding of global AI regulatory landscapes (EU AI Act, NIST frameworks)
  • Experience with quantum computing security principles for AI systems
  • Published research on AI ethics or responsible technology development
  • Certification in AI ethics governance (e.g., IEEE Ethically Aligned Design)

Required Skills

AI Ethics Machine Learning Governance Quantum Computing Security Regulatory Compliance Bias Mitigation Autonomous Systems AI Transparency Policy Development

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