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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead (2026 Vision)

Nexus Global Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join Nexus Global Solutions at the forefront of ethical AI development as we pioneer responsible AI frameworks for 2026. As our AI Ethics & Governance Lead, you'll architect the moral backbone of tomorrow's intelligent systems while mentoring cross-functional teams in ethical AI adoption. This pivotal role combines cutting-edge technology with human-centric values to shape a future where AI advances society equitably.

We offer a dynamic environment where your expertise directly influences industry standards, competitive benefits including equity, and opportunities to present at global AI ethics summits. Be the conscience of innovation in our mission to democratize AI responsibly.

Responsibilities

  • Develop and implement AI ethics governance frameworks aligned with 2026 regulatory projections
  • Conduct bias audits and risk assessments for autonomous systems and predictive models
  • Lead cross-functional workshops on ethical AI design principles with engineering teams
  • Establish KPIs for ethical AI performance and compliance with evolving standards
  • Represent the organization at international AI ethics panels and policy discussions
  • Mentor junior data scientists and product managers on responsible AI practices
  • Collaborate with legal teams to draft ethical AI usage policies and compliance protocols

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years AI governance experience
  • Proven track record in developing enterprise-scale AI ethics frameworks (e.g., EU AI Act compliance)
  • Expertise in bias mitigation techniques for ML models and algorithmic auditing
  • Deep understanding of 2025-2026 AI regulatory landscape (US/EU/APAC)
  • Exceptional communication skills for translating ethical concepts to technical/non-technical stakeholders
  • Published research in AI ethics or demonstrated thought leadership in responsible AI
  • Certification in AI governance (e.g., AIGP, CEGAI) or equivalent practical experience

Required Skills

AI Ethics Governance Frameworks Algorithmic Auditing Regulatory Compliance Bias Mitigation Machine Learning Ethics Policy Development Stakeholder Communication

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