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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Ethics Compliance Officer

Nexus Global Solutions
Austin
Estimated Salary
USD 160.000 – USD 220.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Global Solutions at the forefront of responsible AI innovation. We're seeking a visionary 2026 AI Ethics Compliance Officer to architect governance frameworks for next-generation autonomous systems. You'll shape policies that balance technological advancement with ethical boundaries, ensuring our AI solutions align with evolving global regulations and societal values. This pivotal role demands strategic thinking and cross-functional leadership to embed ethical considerations into the AI lifecycle.

Responsibilities

  • Design and implement AI ethics governance frameworks for 2026-era autonomous systems
  • Lead cross-functional audits of AI algorithms for bias, transparency, and accountability
  • Develop compliance protocols for emerging AI regulations (EU AI Act, US AI Bill of Rights)
  • Collaborate with engineering teams to embed ethical guardrails into AI development pipelines
  • Stakeholder engagement with regulators, ethics boards, and industry coalitions
  • Proactive risk assessment for AI deployment in high-stakes sectors (healthcare, finance)
  • Public advocacy for responsible AI adoption through white papers and industry forums

Qualifications

  • Advanced degree in Ethics, Computer Science, Law, or related field (PhD preferred)
  • 8+ years in AI governance, compliance, or ethics leadership role
  • Expertise in global AI regulatory landscapes (EU, US, Asia-Pacific)
  • Deep understanding of technical AI implementation challenges
  • Certification in AI Ethics (e.g., IEEE Ethically Aligned Design)
  • Experience with bias detection tools and explainable AI frameworks
  • Proven ability to translate complex ethical concepts into actionable policies
  • Background in high-stakes industries (healthcare, finance, defense)

Required Skills

AI Ethics Regulatory Compliance Governance Frameworks Risk Assessment Explainable AI Bias Mitigation Policy Development Stakeholder Engagement

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