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AI Ethics & Governance Lead 2026

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Future Labs at the forefront of responsible AI development. We're seeking an AI Ethics & Governance Lead 2026 to architect ethical frameworks for next-generation autonomous systems. Shape how humanity interacts with AI by 2026 while ensuring compliance with emerging global regulations.

In this pivotal role, you'll define our ethical AI roadmap, audit algorithmic decision-making, and pioneer governance protocols for quantum-encrypted neural networks. Lead cross-functional teams to balance innovation with human-centric values in high-stakes sectors like healthcare and autonomous infrastructure.

Responsibilities

  • Develop and implement ethical AI governance frameworks for 2026-era autonomous systems
  • Conduct algorithmic audits of machine learning models for bias mitigation
  • Lead cross-functional task forces on quantum ethics and neural network transparency
  • Establish compliance protocols for emerging AI regulations (EU AI Act, US AI Bill of Rights)
  • Design human-in-the-loop systems for high-impact AI applications
  • Author corporate AI ethics policy and stakeholder communication materials
  • Partner with product teams to embed ethical design principles into development lifecycles

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 8+ years experience
  • Expertise in AI ethics frameworks (EU Ethics Guidelines, NIST AI RMF)
  • Proven track record in governance of large-scale AI deployments
  • Deep understanding of quantum computing implications for AI ethics
  • Experience developing bias detection tools for neural networks
  • Published research on algorithmic transparency or explainable AI
  • Certification in AI governance (e.g., CAG, IIA) preferred
  • Experience testifying before regulatory bodies on AI policy

Required Skills

AI Ethics Algorithmic Governance Quantum Ethics Regulatory Compliance Explainable AI Bias Mitigation Neural Network Auditing Stakeholder Engagement

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