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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Compliance Lead

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Innovations at the forefront of responsible AI development. We're seeking a visionary AI Ethics & Compliance Lead to shape our ethical framework for 2026 and beyond. You'll architect governance policies for autonomous systems, conduct bias audits on machine learning models, and collaborate with engineering teams to embed ethical safeguards directly into AI workflows. This role offers unparalleled influence in defining how humanity interacts with emerging technologies.

We offer a hybrid work model with competitive benefits including equity, wellness stipends, and continuous learning budgets. Our Austin headquarters features cutting-edge facilities and a culture of innovation.

Responsibilities

  • Develop and implement comprehensive AI ethics frameworks aligned with evolving regulatory landscapes
  • Conduct algorithmic bias audits and fairness assessments across production ML systems
  • Lead cross-functional working groups to integrate ethical considerations into product roadmaps
  • Author compliance documentation for FDA/ISO AI standards and emerging legislation
  • Stakeholder engagement with external ethics boards and industry consortiums
  • Incident response for AI system failures and ethical breach mitigation
  • Drive research on emerging ethical challenges in generative AI and autonomous systems

Qualifications

  • Master's degree in Computer Science, Ethics, Policy, or related field (PhD preferred)
  • 5+ years in AI governance, compliance, or responsible tech development
  • Expertise in bias detection techniques and fairness metrics for ML models
  • Deep knowledge of EU AI Act, NIST AI RMF, and global AI regulatory trends
  • Proven experience translating complex ethical concepts into technical requirements
  • Strong background in privacy-preserving techniques like federated learning
  • Certification in AI ethics or responsible AI (e.g., Google, IBM, or similar)
  • Exceptional communication skills for technical and non-technical audiences

Required Skills

AI Ethics Machine Learning Regulatory Compliance Algorithmic Bias NIST AI RMF EU AI Act Governance Frameworks Risk Assessment Stakeholder Communication Research Methodology

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