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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Lead - 2026 Tech Vision

Nexus Global Solutions
Austin
Estimated Salary
USD 180.000 – USD 240.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join Nexus Global Solutions at the forefront of ethical AI development for 2026. We're pioneering responsible AI frameworks that will shape humanity's technological future. As our AI Ethics Lead, you'll architect governance systems for autonomous decision-making technologies while ensuring alignment with human values. This hybrid role combines strategic oversight with hands-on implementation in our state-of-the-art Austin innovation hub.

We offer competitive equity, unlimited PTO, and a $10K annual learning stipend. Our benefits include comprehensive health coverage, fertility support, and 16-week paid parental leave.

Responsibilities

  • Design and implement ethical AI governance frameworks for 2026-era autonomous systems
  • Lead cross-functional audits of machine learning models for bias and fairness
  • Develop industry standards for explainable AI in high-stakes domains
  • Collaborate with product teams to embed ethical safeguards into AI workflows
  • Represent the company at global AI ethics summits and policy forums
  • Train engineering teams on responsible AI development practices
  • Proactively identify emerging ethical risks in next-gen technologies

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field (or equivalent experience)
  • 5+ years in AI ethics governance with regulatory compliance experience
  • Expertise in EU AI Act, NIST AI RMF, and emerging global AI regulations
  • Published research on algorithmic bias mitigation or value alignment
  • Proven ability to translate ethical principles into technical requirements
  • Experience working with quantum computing or neuromorphic systems
  • Strong background in applied ethics for emerging technologies
  • Exceptional communication skills for technical and non-technical stakeholders

Required Skills

AI Ethics Machine Learning Governance Regulatory Compliance Explainable AI Quantum Ethics Bias Mitigation Policy Development Risk Assessment

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