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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Compliance Specialist

NexusTech Solutions
Austin
Estimated Salary
USD 145.000 – USD 195.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Shape the future of responsible AI at NexusTech Solutions. As we pioneer quantum-integrated systems for 2026, we need an AI Ethics Compliance Specialist to ensure our innovations align with evolving regulatory frameworks and societal expectations. Join our cross-functional team to develop ethical governance frameworks, conduct bias audits, and guide product development through complex moral landscapes.

This role offers the unique opportunity to influence how emerging technologies like generative AI and autonomous systems are deployed globally. You'll collaborate with quantum researchers, policymakers, and industry leaders to establish best practices that balance innovation with human-centric values.

Responsibilities

  • Design and implement AI ethics governance frameworks for quantum-enhanced systems
  • Conduct algorithmic bias audits across machine learning pipelines
  • Develop regulatory compliance strategies for emerging AI standards
  • Create transparency protocols for explainable AI implementations
  • Lead stakeholder workshops on responsible AI deployment
  • Monitor global AI regulatory developments and update policies accordingly
  • Mentor engineering teams on ethical AI development practices

Qualifications

  • Advanced degree in Ethics, Philosophy, Computer Science, or related field
  • 5+ years in AI governance, compliance, or tech ethics
  • Expertise in EU AI Act, NIST AI RMF, and emerging frameworks
  • Proficiency in bias detection tools (e.g., IBM AI Fairness 360)
  • Experience with quantum computing ethics considerations
  • Strong background in cross-functional collaboration
  • Published research in AI ethics or related field preferred
  • Certification in AI Governance (e.g., CAG, CAIGI) required

Required Skills

AI Ethics Compliance Quantum Computing Governance Bias Detection Explainable AI Regulatory Strategy Stakeholder Engagement

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