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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Ethics Lead

QuantumLeap Dynamics
Austin
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join QuantumLeap Dynamics at the forefront of ethical AI innovation as we build the 2026 digital frontier. We're seeking a visionary leader to architect responsible AI frameworks that will shape the next generation of intelligent systems. This hybrid role combines technical depth with strategic foresight, requiring you to navigate complex ethical dilemmas while driving cutting-edge AI adoption across Fortune 500 partners.

Our Austin hub offers state-of-the-art labs and a collaborative culture where your expertise will directly influence global AI governance policies. You'll work alongside Nobel laureates and industry pioneers to develop auditable, transparent AI systems that prioritize human dignity in the age of autonomous decision-making.

Responsibilities

  • Design and implement ethical AI governance frameworks for 2026 technology deployments
  • Lead cross-functional audits of machine learning models for bias mitigation
  • Develop corporate AI ethics policies aligned with emerging global regulations
  • Partner with product teams to embed ethical safeguards in AI development lifecycles
  • Represent the company at international AI ethics summits and regulatory panels
  • Train stakeholders on responsible AI principles through custom workshops
  • Research emerging ethical challenges in generative AI and autonomous systems

Qualifications

  • PhD in Computer Science, Philosophy, or related field with 5+ years AI ethics experience
  • Published research in top-tier AI ethics journals (e.g., Nature Machine Intelligence)
  • Expertise in EU AI Act, NIST RMF, and other emerging regulatory frameworks
  • Proven track record of implementing bias mitigation in production ML systems
  • Experience testifying before technology policy committees
  • Fluency in Python and ML model auditing tools (e.g., IBM AI Fairness 360)
  • Strong background in applied ethics with focus on technology impact assessment

Required Skills

AI Ethics Machine Learning Governance Regulatory Compliance Bias Mitigation Algorithmic Auditing Policy Development Technical Communication

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