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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join Nexus Innovations at the forefront of ethical AI development. We're pioneering responsible artificial intelligence systems that shape humanity's digital future. As our AI Ethics & Governance Lead, you'll architect frameworks ensuring transparency, fairness, and accountability in next-gen AI deployments. This pivotal role bridges cutting-edge technology with human-centered values, guiding our organization through the ethical complexities of 2026's AI landscape.

What You'll Do:
Design and implement robust ethical governance protocols for autonomous systems. Lead cross-functional teams in identifying bias risks and developing mitigation strategies. Collaborate with regulators to shape emerging AI policy standards. Drive continuous improvement of our ethical AI framework through rigorous audits and stakeholder engagement.

Responsibilities

  • Architect comprehensive AI ethics governance frameworks for 2026-era autonomous systems
  • Lead bias audits and fairness assessments across machine learning pipelines
  • Develop enterprise-wide AI transparency protocols and explainability standards
  • Partner with legal teams to ensure compliance with evolving AI regulations
  • Train technical teams on ethical AI implementation best practices
  • Stakeholder communication of AI risk assessments and ethical guidelines

Qualifications

  • Advanced degree in Computer Science, Ethics, Policy, or related field (PhD preferred)
  • 5+ years in AI governance, ethics, or responsible AI implementation
  • Deep expertise in ML fairness metrics and bias mitigation techniques
  • Experience developing AI ethics frameworks for autonomous systems
  • Strong understanding of global AI regulatory landscape (EU AI Act, NIST AI RMF)
  • Certification in AI ethics or governance (e.g., IEEE, ACM)
  • Exceptional communication skills for technical/non-technical audiences

Required Skills

AI Ethics Governance Machine Learning Bias Mitigation Regulatory Compliance Explainable AI Autonomous Systems Policy Development

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