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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

QuantumLeap Innovations
Austin
Estimated Salary
USD 180.000 – USD 220.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join QuantumLeap Innovations at the forefront of ethical AI development. We're seeking a visionary AI Ethics & Governance Lead to shape responsible AI frameworks for 2026 and beyond. This pivotal role requires deep technical expertise and strategic foresight to ensure our AI systems align with evolving global standards while driving innovation.

You'll collaborate with cross-functional teams to develop robust governance protocols, conduct bias audits, and establish transparent AI lifecycle management. If you're passionate about democratizing AI responsibly and want to influence the future of human-machine collaboration, this is your opportunity to make a lasting impact.

Responsibilities

  • Design and implement AI ethics frameworks compliant with emerging international regulations (EU AI Act, NIST AI RMF)
  • Lead bias mitigation strategies across AI development pipelines and deployment systems
  • Conduct regular risk assessments for high-impact AI applications in healthcare and autonomous systems
  • Develop stakeholder engagement protocols for transparent AI decision-making processes
  • Create audit trails for algorithmic accountability and explainability requirements
  • Establish KPIs for ethical AI performance and continuous improvement initiatives
  • Advocate for inclusive AI design principles through cross-functional training programs

Qualifications

  • Master's degree in Computer Science, Ethics, Public Policy, or related field; PhD preferred
  • 8+ years in AI governance, ML ethics, or responsible technology leadership
  • Proven experience developing enterprise-wide AI ethics frameworks
  • Expertise in regulatory landscapes (GDPR, AI Act, NIST frameworks)
  • Strong technical background in ML/AI systems and their societal implications
  • Exceptional communication skills for translating complex ethical concepts
  • Certification in AI governance (e.g., CEGAI, AIEC) or equivalent experience

Required Skills

AI Ethics Governance Regulatory Compliance Bias Mitigation Explainable AI Risk Assessment Stakeholder Engagement ML Systems Policy Development

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