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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

QuantumLeap Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join our pioneering team shaping the ethical frontier of artificial intelligence. As we approach 2026, QuantumLeap Solutions seeks a visionary AI Ethics & Governance Lead to architect responsible AI frameworks for autonomous systems, predictive analytics, and neural networks. This role sits at the intersection of technology and humanity, ensuring our innovations align with global ethical standards while driving competitive advantage.

We offer a dynamic environment where your expertise will directly influence how AI is deployed across healthcare, finance, and infrastructure sectors. Enjoy competitive equity, flexible remote work options, and the opportunity to lead industry-defining initiatives.

Responsibilities

  • Develop and implement comprehensive AI ethics governance frameworks aligned with ISO/IEC 42001 standards
  • Conduct bias audits and impact assessments for machine learning models deployed in regulated industries
  • Lead cross-functional working groups including engineers, legal, and social scientists
  • Advocate for ethical AI principles in product development lifecycles and stakeholder communications
  • Monitor emerging regulatory landscapes (EU AI Act, NIST frameworks) and adapt compliance strategies
  • Design transparency protocols for algorithmic decision-making systems

Qualifications

  • Master's degree in Computer Science, Philosophy, Law, or related field with 5+ years AI ethics experience
  • Proven track record in developing AI governance policies for enterprise-scale deployments
  • Deep expertise in fairness, accountability, and transparency (FAT) principles for ML systems
  • Certification in AI ethics (e.g., IBM AI Ethics, Google Responsible AI) preferred
  • Experience with regulatory compliance in healthcare (HIPAA) or finance (GDPR/CCPA)
  • Exceptional ability to translate complex technical concepts for non-technical stakeholders
  • Published research or thought leadership in AI ethics journals/conferences

Required Skills

AI Ethics Machine Learning Governance Regulatory Compliance Algorithmic Auditing Stakeholder Communication ISO/IEC 42001 FAT Principles NIST AI Framework

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