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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

Nexus AI Solutions
Austin
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus AI Solutions at the forefront of responsible AI development. As our AI Ethics Strategist, you'll shape the ethical frameworks guiding our 2026 product roadmap while ensuring compliance with emerging global regulations. This role bridges technical innovation and moral responsibility, working with cross-functional teams to embed fairness, transparency, and accountability into AI systems. You'll pioneer industry standards in an era where AI becomes deeply integrated into daily life.

Responsibilities

  • Develop and implement ethical AI governance frameworks for autonomous systems
  • Conduct bias audits and risk assessments for machine learning models
  • Advocate for ethical AI principles in product development lifecycle
  • Collaborate with policymakers on emerging AI regulation standards
  • Lead cross-functional workshops on responsible AI implementation
  • Monitor global AI ethics trends and translate into actionable strategies
  • Establish stakeholder engagement protocols for AI transparency initiatives

Qualifications

  • Master's degree in AI Ethics, Computer Science, Philosophy, or related field
  • 5+ years experience in AI governance or responsible AI development
  • Proven track record of implementing ethical AI frameworks in production
  • Deep understanding of EU AI Act, NIST AI RMF, and other regulatory frameworks
  • Expertise in bias detection and mitigation techniques for ML systems
  • Strong stakeholder management skills across technical and non-technical teams
  • Certification in AI ethics (e.g., IEEE Ethically Aligned Design, Google Responsible AI)
  • Published work on AI ethics or relevant conference presentations

Required Skills

AI Ethics Machine Learning Governance Regulatory Compliance Bias Mitigation Stakeholder Engagement Risk Assessment Policy Development Autonomous Systems

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