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AI Ethics Architect (2026 Vision)

NeuroTech Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join NeuroTech Dynamics at the forefront of responsible AI innovation as we shape the ethical frameworks for 2026. We're seeking a visionary AI Ethics Architect to design governance systems that align cutting-edge artificial intelligence with human values. This hybrid role combines technical expertise with philosophical rigor to build transparent, auditable, and bias-resistant AI systems for global deployment.

Our Austin-based innovation hub offers state-of-the-art facilities and a culture where ethics meets exponential technology. You'll collaborate with quantum computing specialists, neuroscientists, and policy experts to create the ethical blueprints for tomorrow's AI landscape.

Responsibilities

  • Design and implement ethical AI governance frameworks for 2026-generation autonomous systems
  • Conduct bias audits and fairness assessments across machine learning pipelines
  • Develop real-time ethical monitoring systems for deployed AI applications
  • Lead cross-functional working groups on AI transparency and explainability
  • Create certification protocols for ethical AI deployment in regulated industries
  • Author whitepapers on emerging ethical challenges in generative AI
  • Advocate for ethical AI standards at industry consortiums and regulatory bodies

Qualifications

  • PhD in Computer Science, Philosophy, Ethics, or related field (or equivalent experience)
  • 5+ years developing ethical frameworks for AI/ML systems
  • Expertise in algorithmic bias mitigation and fairness metrics
  • Deep understanding of global AI regulations (EU AI Act, NIST frameworks)
  • Proficiency in Python and ML frameworks for ethical auditing
  • Published research in AI ethics or responsible innovation
  • Experience working with quantum computing or neuromorphic systems
  • Strong background in philosophical ethics and moral philosophy

Required Skills

AI Ethics Machine Learning Governance Algorithmic Fairness Regulatory Compliance Quantum Ethics Explainable AI Bias Mitigation Philosophical Ethics

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