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AI Ethics Architect - 2026 Visionary

NeuroEdge Dynamics
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join NeuroEdge Dynamics as we redefine technological boundaries for 2026. We seek a pioneering AI Ethics Architect to shape responsible AI frameworks that will power tomorrow's innovations. This role sits at the intersection of cutting-edge technology and human-centric values, ensuring our AI systems align with societal progress and ethical governance.

As a key member of our Future Vision Council, you'll architect ethical blueprints for autonomous systems, bias mitigation protocols, and transparency frameworks. Collaborate with quantum computing researchers, neuroscientists, and policy futurists to build AI ecosystems that prioritize human dignity and sustainable innovation.

Responsibilities

  • Design ethical governance frameworks for next-gen autonomous systems and quantum-AI hybrids
  • Lead bias audits and fairness assessments across machine learning pipelines
  • Develop human-in-the-loop protocols for high-stakes AI decision systems
  • Partner with product teams to embed ethical-by-design principles in 2026 technology roadmaps
  • Create transparency dashboards for AI explainability and audit trails
  • Advocate for ethical AI standards in industry coalitions and regulatory bodies
  • Mentor cross-functional teams on responsible AI development practices

Qualifications

  • PhD or equivalent in Ethics, Philosophy, Computer Science, or related field
  • 5+ years in AI ethics, governance, or responsible AI development
  • Expertise in bias mitigation techniques and fairness metrics
  • Deep understanding of global AI regulatory landscapes (EU AI Act, NIST frameworks)
  • Proven experience designing ethical AI systems for high-impact industries
  • Strong background in participatory design and stakeholder engagement
  • Publications or thought leadership in AI ethics journals/conferences
  • Experience with quantum computing and neuro-symbolic AI architectures

Required Skills

AI Ethics Governance Bias Mitigation Quantum Computing Neuro-Symbolic AI Regulatory Compliance Explainable AI Participatory Design

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