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2026 AI Ethics Lead

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Innovations at the forefront of ethical AI development as we shape responsible technology for 2026 and beyond. We're seeking a visionary AI Ethics Lead to architect governance frameworks for autonomous systems, ensuring alignment with human values and regulatory compliance. This pivotal role bridges technical innovation with ethical foresight, guiding our organization through the complex landscape of emerging AI technologies.

You'll collaborate with cross-functional teams to implement bias mitigation protocols, develop ethical AI training curricula, and pioneer transparent decision-making processes. Our ideal candidate thrives at the intersection of technology and philosophy, with a passion for democratizing AI benefits while mitigating societal risks. Help us build a future where technology serves humanity equitably.

Responsibilities

  • Design and implement ethical AI governance frameworks aligned with 2026 regulatory landscapes
  • Lead bias audits and fairness assessments for autonomous decision systems
  • Develop organizational AI ethics policies and compliance protocols
  • Conduct stakeholder workshops on responsible AI adoption
  • Research emerging ethical challenges in generative AI and predictive modeling
  • Partner with engineering teams to embed ethics-by-design principles
  • Report on AI ethics metrics to executive leadership and regulatory bodies

Qualifications

  • PhD or Master's degree in Ethics, Philosophy, Computer Science, or related field
  • 5+ years in AI ethics, responsible AI, or technology governance
  • Expertise in regulatory frameworks (EU AI Act, NIST AI RMF)
  • Proven experience implementing bias mitigation in production AI systems
  • Strong knowledge of ethical AI frameworks (Asilomar Principles, IEEE 7000)
  • Exceptional communication skills for technical and non-technical audiences
  • Research background in AI fairness, explainability, or accountability
  • Certification in AI ethics or responsible AI (e.g., Google, IBM)

Required Skills

AI Ethics Governance Frameworks Bias Mitigation Regulatory Compliance Explainable AI Algorithmic Auditing Responsible AI Ethics-by-Design

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