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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Lead

Nexus Solutions Inc.
Austin
Estimated Salary
USD 180.000 – USD 240.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Shape the ethical frontier of artificial intelligence at Nexus Solutions Inc. We're seeking a visionary AI Ethics Research Lead to architect responsible AI frameworks that will define 2026's technological landscape. Join our cross-disciplinary team of futurists, engineers, and policy experts to develop groundbreaking governance models for next-gen autonomous systems. This pivotal role bridges cutting-edge AI development with societal impact, ensuring our innovations advance humanity while mitigating existential risks.

Responsibilities

  • Design and implement ethical AI governance frameworks for autonomous systems deployed in critical infrastructure
  • Lead cross-functional research initiatives on algorithmic bias mitigation and transparency protocols
  • Collaborate with quantum computing teams to develop ethical safeguards for AI-accelerated discoveries
  • Author white papers and policy recommendations for federal AI regulatory bodies
  • Establish audit protocols for AI decision-making systems in healthcare and finance sectors
  • Mentor ethics fellows in emerging AI interpretability techniques
  • Partner with UN agencies on global AI safety standards implementation

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 8+ years AI ethics experience
  • Published research in top-tier AI ethics journals (e.g., Nature Machine Intelligence)
  • Expertise in EU AI Act, NIST AI RMF, and OECD AI principles
  • Proven track record of scaling ethical AI frameworks across Fortune 500 enterprises
  • Deep understanding of quantum computing's implications for AI safety
  • Experience testifying before congressional technology committees
  • Fluency in Python and TensorFlow for ethics auditing implementation

Required Skills

AI Ethics Quantum Computing Governance Algorithmic Auditing Policy Development Autonomous Systems Explainable AI Risk Mitigation Regulatory Compliance

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