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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

Nexus Future Labs
Austin
Estimated Salary
USD 165.000 – USD 220.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of responsible AI development. As we approach 2026, we're seeking an AI Ethics & Governance Lead to shape the ethical frameworks for next-generation autonomous systems. This pivotal role bridges cutting-edge AI innovation with human-centric values, ensuring our technologies advance society while mitigating risks.

You'll architect governance protocols for AI deployments across healthcare, autonomous infrastructure, and predictive analytics. Our multidisciplinary teams combine engineers, ethicists, and domain experts to create auditable, transparent AI systems that earn public trust.

Compete for the future of technology while championing ethical boundaries. This hybrid role offers competitive equity, unlimited learning stipends, and direct influence on national AI policy discussions.

Responsibilities

  • Develop comprehensive AI ethics frameworks aligned with 2026 regulatory landscapes
  • Lead cross-functional audits of AI systems for bias, fairness, and transparency
  • Design governance protocols for autonomous systems in critical infrastructure
  • Collaborate with policymakers on ethical AI standards implementation
  • Train engineers on responsible AI development practices
  • Incident response coordination for AI system failures
  • Research emerging risks in generative AI and quantum computing applications

Qualifications

  • Master's degree in Ethics, Computer Science, or related field (PhD preferred)
  • 5+ years in AI governance or tech ethics leadership
  • Experience with NIST AI Risk Management Framework or EU AI Act
  • Published research on algorithmic bias mitigation
  • Technical fluency in ML model interpretability tools
  • Expertise in healthcare/transportation AI ethics
  • Certification in Responsible AI (e.g., IBM, Google)

Required Skills

AI Ethics Governance Algorithmic Auditing NIST Framework EU AI Act ML Interpretability Risk Management Policy Development

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