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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Ethics Lead

Nexus Dynamics
Austin
Estimated Salary
USD 160.000 – USD 220.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we pioneer ethical AI frameworks for 2026 and beyond. This pivotal role shapes responsible innovation in a world where artificial intelligence transforms industries. You'll architect governance protocols, audit algorithmic fairness, and lead cross-functional teams to ensure our AI systems align with human values while maintaining competitive edge.

Our Austin hub combines Silicon Valley's energy with Texas' collaborative spirit. Enjoy hybrid flexibility, cutting-edge resources, and the chance to influence global tech standards. If you're passionate about balancing innovation with integrity, this is your legacy-defining moment.

Responsibilities

  • Design and implement ethical AI governance frameworks for 2026 product roadmaps
  • Lead algorithmic bias audits across machine learning pipelines
  • Collaborate with engineering teams to embed ethical safeguards in AI development
  • Develop regulatory compliance strategies for emerging AI legislation
  • Present ethical impact assessments to C-suite stakeholders and external bodies
  • Mentor junior researchers on responsible AI methodologies
  • Conduct horizon-scanning for emerging ethical risks in next-gen AI

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field (or equivalent experience)
  • 5+ years in AI governance, policy development, or ethics compliance
  • Expertise in algorithmic bias detection and mitigation techniques
  • Deep understanding of global AI regulations (EU AI Act, NIST frameworks)
  • Experience presenting complex ethical concepts to technical and non-technical audiences
  • Published work on AI ethics or responsible innovation
  • Proficiency in Python for ethical auditing tool development

Required Skills

AI Ethics Governance Algorithmic Auditing Regulatory Compliance Machine Learning Policy Development Bias Mitigation NIST Framework

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