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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

Quantum Horizon Labs
Austin
Estimated Salary
USD 180.000 – USD 240.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Quantum Horizon Labs at the forefront of responsible AI innovation. As our AI Ethics & Governance Lead, you'll architect ethical frameworks for next-generation AI systems that will define the 2026 technological landscape. This pivotal role bridges cutting-edge AI development with human-centric values, ensuring our innovations accelerate progress while safeguarding societal trust.

We're seeking a visionary leader to develop and implement ethical governance protocols for autonomous systems, predictive analytics, and quantum AI applications. You'll collaborate with cross-functional teams to embed ethical considerations into the full product lifecycle, from research to deployment.

Responsibilities

  • Design and enforce AI ethics policies aligned with global regulatory standards and emerging 2026 compliance frameworks
  • Lead cross-functional audits of AI systems to identify bias, fairness, and transparency risks
  • Develop governance frameworks for generative AI and autonomous decision-making systems
  • Partner with product teams to embed ethical design principles into AI development pipelines
  • Represent the organization in industry forums shaping AI ethics standards
  • Create transparency reports and stakeholder communications on AI impact assessments

Qualifications

  • Master's degree in Ethics, Computer Science, AI, or related field (PhD preferred)
  • 5+ years in AI governance, responsible AI, or ethics compliance roles
  • Deep expertise in emerging AI regulations (EU AI Act, NIST AI RMF, etc.)
  • Proven experience developing bias mitigation frameworks for machine learning systems
  • Strong knowledge of quantum computing ethics and 2026 technology trends
  • Certification in AI ethics (e.g., IEEE, ACM) or equivalent practical experience
  • Exceptional stakeholder communication skills across technical and non-technical audiences

Required Skills

AI Ethics Governance Machine Learning Regulatory Compliance Bias Mitigation Quantum Computing Stakeholder Communication Risk Assessment

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