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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Ethics Engineer

FutureGuard Technologies
Austin
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join FutureGuard Technologies at the forefront of responsible AI innovation. We're seeking a visionary Senior AI Ethics Engineer to shape the ethical frameworks for our 2026-generation autonomous systems. This pivotal role bridges cutting-edge AI development with human-centric governance, ensuring our technologies advance humanity while safeguarding against unintended consequences. You'll work directly with quantum computing teams and neuro-symbolic AI researchers to implement auditable ethical protocols across our product ecosystem.

As an industry leader in AI ethics, we offer unparalleled opportunities to influence global standards while working in a collaborative environment that values intellectual curiosity and ethical rigor. Our Austin hub features state-of-the-art neuro-linguistic programming labs and dedicated ethics simulation environments.

Responsibilities

  • Design and implement ethical governance frameworks for next-gen autonomous systems
  • Conduct bias audits across machine learning pipelines using adversarial testing methodologies
  • Develop explainability protocols for quantum-enhanced decision models
  • Collaborate with neuro-symbolic AI teams to encode ethical constraints in hybrid systems
  • Lead stakeholder workshops on AI transparency and accountability
  • Author technical ethics documentation for regulatory compliance (NIST AI RMF, EU AI Act)
  • Research emerging ethical challenges in post-human AI interaction paradigms

Qualifications

  • PhD in AI Ethics, Machine Learning, or related field with 5+ years industry experience
  • Expertise in adversarial ML bias detection and mitigation techniques
  • Deep understanding of quantum computing's implications for AI ethics
  • Proficiency in implementing fairness metrics across diverse datasets
  • Experience with regulatory frameworks (NIST, EU AI Act, IEEE 7000)
  • Strong background in neuro-symbolic AI and hybrid system architectures
  • Published research in top-tier AI ethics conferences (AAAI, NeurIPS Ethics Track)
  • Ability to translate complex ethical concepts into technical specifications

Required Skills

AI Ethics Machine Learning Quantum Computing Neuro-Symbolic AI Adversarial Testing NIST AI RMF EU AI Act Bias Mitigation Explainable AI

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