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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

Quantum Leap Innovations
Austin
Estimated Salary
USD 190.000 – USD 260.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Quantum Leap Innovations at the forefront of ethical AI development. We're seeking a visionary AI Ethics & Governance Lead to architect responsible AI frameworks for our 2026 product roadmap. This pivotal role shapes how we balance innovation with human-centric values in an increasingly automated world.

You'll collaborate with C-suite executives, research scientists, and product teams to embed ethical safeguards into generative AI systems while maintaining competitive advantage. Our Austin hub offers cutting-edge resources to pioneer solutions that will define industry standards.

Responsibilities

  • Design and implement AI ethics governance frameworks aligned with 2026 regulatory requirements
  • Lead cross-functional working groups on bias mitigation and algorithmic transparency
  • Conduct risk assessments for high-stakes AI deployments in healthcare and finance
  • Develop audit protocols for generative AI systems and synthetic data pipelines
  • Partner with policymakers to shape emerging AI legislation and standards
  • Train engineers on responsible AI development practices and ethical decision-making
  • Report on AI ethics metrics to board of directors and regulatory bodies

Qualifications

  • PhD in Ethics, Computer Science, Law, or related field with 8+ years AI governance experience
  • Published research in algorithmic fairness or AI ethics (NeurIPS/ICML/ICLR)
  • Expertise in EU AI Act, NIST AI RMF, and OECD AI Principles frameworks
  • Proven track record of scaling ethics programs from prototype to enterprise deployment
  • Certification in AI Risk Management (CAIR) or equivalent
  • Experience testifying before legislative bodies or regulatory commissions
  • Technical fluency in MLOps and generative AI architectures

Required Skills

AI Ethics Algorithmic Governance Regulatory Compliance Generative AI Risk Assessment Policy Development MLOps

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