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2026 AI Ethics Lead

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

Job Description

Join Nexus Innovations at the forefront of ethical AI development as we prepare for the transformative year 2026. We seek a visionary AI Ethics Lead to shape responsible AI frameworks that will define the next generation of technology. This role combines deep technical expertise with strategic foresight to ensure our innovations align with human values and societal impact.

As a pioneer in responsible AI, you'll collaborate with cross-functional teams to embed ethical considerations into product lifecycles while developing industry-leading governance protocols. Your work will directly influence how AI systems are deployed across healthcare, finance, and autonomous technologies by 2026.

Responsibilities

  • Design and implement AI ethics frameworks for 2026-era autonomous systems and predictive analytics
  • Lead cross-functional working groups to identify bias mitigation strategies in machine learning pipelines
  • Develop regulatory compliance protocols for emerging AI governance standards
  • Conduct impact assessments for AI deployments in regulated industries
  • Create transparent documentation of ethical decision-making processes for AI systems
  • Mentor technical teams on responsible AI development practices
  • Represent the company at international AI ethics forums and policy discussions

Qualifications

  • PhD in Computer Science, Ethics, or related field with 8+ years AI/ML experience
  • Published research on algorithmic bias or explainable AI (XAI)
  • Expertise in implementing ethical AI frameworks (e.g., EU AI Act, NIST RMF)
  • Experience with high-stakes AI deployments in regulated industries
  • Strong knowledge of 2026 technology landscape predictions
  • Certification in AI governance (e.g., CAIG, CEGAI)
  • Proven ability to translate complex ethical concepts for technical stakeholders
  • Track record of influencing AI policy at organizational or governmental levels

Required Skills

AI Ethics Machine Learning Governance Algorithmic Bias Mitigation Explainable AI Regulatory Compliance Futurism Tech Policy Autonomous Systems

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