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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Future Labs at the forefront of ethical AI development. We're seeking visionary AI Ethics Strategists to shape responsible innovation for 2026 and beyond. Lead cross-functional teams in embedding ethical frameworks into cutting-edge AI systems, ensuring compliance with emerging global standards while driving technological breakthroughs.

This pivotal role requires deep expertise in algorithmic bias mitigation, regulatory foresight, and stakeholder engagement. You'll architect governance frameworks that balance innovation with societal impact, working directly with C-suite executives and product teams to deliver ethically audited AI solutions.

Responsibilities

  • Design and implement comprehensive AI ethics governance frameworks aligned with 2026 regulatory projections
  • Lead bias audits for machine learning models using advanced statistical analysis tools
  • Collaborate with engineering teams to embed ethical safeguards in AI development lifecycles
  • Develop stakeholder communication strategies for ethical AI transparency initiatives
  • Conduct horizon scanning for emerging AI regulations and ethical standards
  • Mentor junior staff on ethical AI principles and regulatory compliance
  • Author white papers on responsible AI adoption for industry conferences

Qualifications

  • Master's degree in Ethics, Computer Science, Law, or related field (PhD preferred)
  • 5+ years in AI ethics, compliance, or responsible AI development
  • Proven expertise in algorithmic bias detection and mitigation techniques
  • Deep understanding of EU AI Act, NIST AI RMF, and evolving global AI regulations
  • Experience with cross-functional stakeholder management in tech environments
  • Strong proficiency in Python for bias analysis and model auditing
  • Certification in AI ethics or responsible AI (e.g., IBM AI Ethics, Google Responsible AI)

Required Skills

AI Ethics Algorithmic Bias Regulatory Compliance Machine Learning Auditing Stakeholder Engagement NIST AI RMF EU AI Act Python

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