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AI Ethics Lead - 2026 Visionary

Nexus Dynamics Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of shaping AI's ethical future for 2026. We're seeking an AI Ethics Lead to architect responsible AI frameworks that balance innovation with human-centric values. As a key architect of our 2026 AI roadmap, you'll define governance protocols, audit algorithms for bias, and pioneer transparent machine learning systems. This role bridges technical precision and ethical foresight, ensuring our AI solutions empower humanity while mitigating risks. Work with world-class researchers to build the ethical standards that will define the next generation of artificial intelligence.

Responsibilities

  • Design and implement AI ethics governance frameworks for 2026 product roadmap
  • Conduct algorithmic bias audits and mitigation strategies across ML pipelines
  • Lead cross-functional task forces to align technical teams on ethical AI principles
  • Develop transparency protocols for explainable AI systems and decision-making processes
  • Collaborate with policymakers to shape industry standards for responsible AI deployment
  • Create ethics training modules for engineering teams and stakeholders
  • Monitor emerging ethical challenges in AI and update compliance frameworks proactively

Qualifications

  • PhD in Ethics, Computer Science, Philosophy, or related field with 5+ years AI ethics experience
  • Expertise in algorithmic bias mitigation and fairness metrics (e.g., disparate impact analysis)
  • Deep understanding of EU AI Act, NIST AI RMF, and evolving global AI regulations
  • Proven track record of implementing ethics-by-design in production AI systems
  • Strong background in machine learning frameworks and technical implementation constraints
  • Exceptional communication skills for translating complex ethical concepts to technical teams
  • Published work in AI ethics journals or industry whitepapers

Required Skills

AI Ethics Machine Learning Governance Algorithmic Bias Explainable AI Policy Development Ethical AI Frameworks Compliance Auditing Stakeholder Communication

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