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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

Nexus Future Systems
Austin
Estimated Salary
USD 180.000 – USD 220.000
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join Nexus Future Systems at the forefront of responsible AI innovation. We're seeking an AI Ethics & Governance Lead to shape our 2026 technology roadmap and ensure ethical AI deployment at scale. You'll architect frameworks for transparent, accountable, and human-centric AI systems while collaborating with cross-functional teams to embed ethical principles into product lifecycles. This role offers the opportunity to influence industry standards and pioneer solutions for complex AI governance challenges.

Responsibilities

  • Develop and implement comprehensive AI ethics frameworks aligned with global regulations (EU AI Act, NIST AI RMF)
  • Lead cross-functional audits of AI systems for bias, fairness, and transparency
  • Design governance protocols for generative AI deployment in high-stakes environments
  • Establish KPIs for ethical AI performance and monitor compliance across 2026 product launches
  • Advocate for responsible innovation through stakeholder workshops and executive briefings
  • Partner with legal teams to navigate emerging AI legislation and compliance requirements

Qualifications

  • Master's degree in AI Ethics, Computer Science, Philosophy, or related field (PhD preferred)
  • 8+ years of experience in AI governance, responsible AI, or tech ethics leadership
  • Deep expertise in bias detection algorithms and fairness metrics implementation
  • Proven track record of designing ethical AI frameworks for enterprise-scale deployments
  • Strong knowledge of international AI regulations and compliance standards
  • Exceptional communication skills for translating complex ethical concepts to technical teams
  • Experience with AI ethics toolchains (e.g., IBM Fairness 360, Google What-If Tool)

Required Skills

AI Ethics Governance Frameworks Bias Mitigation Regulatory Compliance Generative AI Risk Assessment Stakeholder Communication NIST AI RMF

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