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AI Ethics & Governance Lead

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of responsible AI innovation. 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 development with human-centric values, ensuring our technologies advance society while mitigating risks. You'll architect governance protocols for quantum-encrypted neural networks and collaborate with Nobel laureates to establish industry standards for synthetic consciousness. If you're passionate about steering AI toward equitable outcomes and want to influence how humanity interfaces with artificial sentience, this is your moment.

Responsibilities

  • Design and implement ethical governance frameworks for generative AI systems deployed in critical infrastructure
  • Lead cross-functional audits of algorithmic bias in autonomous decision-making platforms
  • Develop transparency protocols for explainable AI in healthcare diagnostics
  • Chair ethics committees evaluating neural network consciousness thresholds
  • Partner with policy think tanks to draft international AI safety regulations
  • Train engineers on responsible AI development using federated learning techniques
  • Quantify societal impact of AI deployments through ethical impact assessments

Qualifications

  • PhD in Computer Science, Ethics, or Philosophy with 8+ years in AI governance
  • Published research on algorithmic fairness in top-tier journals (Nature, Science)
  • Experience with ISO/IEC 42001 AI management systems certification
  • Deep expertise in quantum-secure privacy-preserving machine learning
  • Proven track record influencing US federal AI policy (NIST, OSTP)
  • Fluency in ethical frameworks (UNESCO, EU AI Act) and regulatory landscapes
  • Background in human-AI interaction design for high-stakes environments

Required Skills

AI Ethics Algorithmic Governance Quantum Computing Explainable AI Policy Development Risk Assessment Neural Networks Synthetic Biology

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