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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist

FutureGuard Technologies
Austin
Estimated Salary
USD 140.000 – USD 185.000
New
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join FutureGuard Technologies at the forefront of responsible AI development! We're seeking a visionary AI Ethics & Governance Specialist to shape the ethical frameworks for our 2026 product roadmap. As AI transforms industries, you'll ensure our innovations align with societal values while driving competitive advantage. This hybrid role combines technical acumen with philosophical rigor to design audit systems, bias mitigation protocols, and transparent governance models. You'll collaborate with quantum computing researchers, neuro-symbolic AI teams, and regulatory bodies to pioneer industry standards. If you're passionate about democratizing AI ethics while protecting human dignity, this is your chance to redefine the future.

Responsibilities

  • Develop and implement AI ethics frameworks for autonomous systems and generative models
  • Conduct bias audits across machine learning pipelines using adversarial testing methodologies
  • Design explainability protocols for deep neural networks and quantum AI hybrids
  • Create regulatory compliance strategies for evolving federal AI governance acts
  • Lead stakeholder workshops with engineering, legal, and policy teams
  • Author whitepapers on responsible AI deployment for industry conferences
  • Monitor emerging ethical risks in federated learning and edge AI deployments

Qualifications

  • Master's degree in AI Ethics, Computer Science, Philosophy, or related field
  • 3+ years experience in AI governance or responsible tech implementation
  • Proficiency in bias detection tools (IBM AI Fairness 360, Google What-If Tool)
  • Deep understanding of EU AI Act, NIST AI RMF, and state-level regulations
  • Published research in top-tier AI ethics journals or conferences
  • Experience with cross-functional ethical review boards
  • Strong background in privacy-preserving ML techniques (differential privacy, homomorphic encryption)
  • Excellent written communication for technical and non-technical audiences

Required Skills

AI Ethics Machine Learning Governance Regulatory Compliance Bias Mitigation Explainable AI Quantum Computing Ethics Federated Learning NIST AI RMF EU AI Act

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