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AI Ethics & Governance Lead (2026 Vision)

Nexus Futures
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join Nexus Futures at the forefront of responsible AI development. We're pioneering ethical frameworks for 2026's autonomous systems, ensuring human-centric innovation while mitigating existential risks. This role bridges cutting-edge AI research with global policy standards, shaping how humanity coexists with superintelligent systems.

Our Austin hub combines Silicon Valley agility with Texas ingenuity. You'll lead cross-functional teams in designing audit protocols, bias mitigation systems, and transparency frameworks for AI deployed in healthcare, climate modeling, and critical infrastructure.

Responsibilities

  • Develop and implement AI ethics governance frameworks aligned with IEEE 7000 and EU AI Act standards
  • Lead red-teaming exercises to identify existential risks in generative AI systems
  • Collaborate with policymakers at the UN and OECD on global AI safety protocols
  • Design bias detection and mitigation algorithms for high-stakes decision systems
  • Train C-suite executives on ethical AI deployment strategies for 2026 adoption
  • Conduct forensic audits of autonomous systems in healthcare and logistics
  • Pioneer explainable AI (XAI) techniques for black-box neural networks

Qualifications

  • PhD in AI Ethics, Philosophy of Technology, or related field with 5+ years experience
  • Deep expertise in EU AI Act, NIST AI RMF, and ISO/IEC 42001 frameworks
  • Published research on AI existential risk mitigation strategies
  • Experience auditing LLM systems with >1B parameters (e.g., GPT-4, Claude)
  • Proficiency in Python and TensorFlow for ethical AI tool development
  • Previous policy advisory role at national/international AI governance bodies
  • Certification in Responsible AI from Stanford or MIT

Required Skills

AI Ethics Governance Policy Development Risk Assessment Explainable AI Red Teaming EU AI Act NIST RMF TensorFlow Philosophy of Technology

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