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2026 AI Ethics Lead

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Innovations at the forefront of ethical AI development. We're seeking a visionary 2026 AI Ethics Lead to shape responsible AI frameworks for the next generation of autonomous systems. This executive role will define ethical standards, drive compliance initiatives, and ensure our AI solutions align with human values. If you're passionate about bridging cutting-edge technology with moral responsibility, this is your opportunity to impact the future of artificial intelligence.

Responsibilities

  • Develop comprehensive ethical frameworks for AI systems deployed in critical infrastructure and healthcare sectors
  • Lead cross-functional teams in implementing bias mitigation algorithms and fairness testing protocols
  • Establish governance standards for autonomous decision-making systems in collaboration with legal and policy experts
  • Conduct regular audits of AI models to ensure compliance with evolving international ethical guidelines
  • Design stakeholder engagement strategies for transparent AI deployment in public sector applications
  • Drive research initiatives on long-term AI safety and alignment with human values
  • Represent the company at global AI ethics forums and regulatory discussions

Qualifications

  • PhD or equivalent experience in AI Ethics, Philosophy of Technology, or related field
  • 10+ years in AI governance with proven experience in high-stakes technology sectors
  • Expertise in developing ethical AI frameworks for autonomous systems
  • Deep understanding of global AI regulatory landscapes (EU AI Act, NIST frameworks)
  • Published research on AI alignment, fairness, or interpretability
  • Experience leading cross-functional teams in ethical technology implementation
  • Certification in AI ethics governance or responsible AI practices

Required Skills

AI Ethics Autonomous Systems Governance Frameworks Regulatory Compliance Bias Mitigation AI Safety Stakeholder Engagement

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