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Senior AI Ethics Strategist

Nexus AI Solutions
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join Nexus AI Solutions at the forefront of responsible innovation as we pioneer ethical AI frameworks for 2026. We seek a visionary Senior AI Ethics Strategist to design governance systems that balance technological advancement with human-centric values. This role sits at the intersection of policy, technology, and societal impact, shaping how organizations deploy AI responsibly in an increasingly automated world.

As a key member of our Future Ethics Council, you'll collaborate with C-suite executives, research scientists, and regulatory bodies to establish industry-leading standards. Our dynamic team thrives on solving complex challenges while maintaining our commitment to transparency, fairness, and accountability in AI deployment.

Responsibilities

  • Develop comprehensive AI ethics frameworks aligned with 2026 regulatory landscapes and societal expectations
  • Conduct risk assessments for autonomous systems, predictive analytics, and generative AI models
  • Design bias mitigation protocols for machine learning pipelines and algorithmic decision-making
  • Create stakeholder engagement strategies for diverse communities affected by AI deployments
  • Lead cross-functional workshops on ethical AI implementation with engineering and product teams
  • Author whitepapers and policy recommendations for industry consortiums and government bodies
  • Monitor emerging AI ethics regulations and ensure organizational compliance

Qualifications

  • Master's degree in Ethics, Philosophy, Computer Science, or related field with 5+ years in AI governance
  • Proven experience developing ethical frameworks for large-scale AI deployments
  • Expertise in bias detection algorithms and fairness metrics for ML models
  • Deep understanding of global AI regulations (EU AI Act, NIST AI RMF, etc.)
  • Exceptional stakeholder communication skills across technical and non-technical audiences
  • Certification in AI Ethics (e.g., IBM AI Ethics Certificate, DeepMind Ethics Program)
  • Published research or policy papers on responsible AI development
  • Experience working with cross-cultural teams on international AI initiatives

Required Skills

AI Ethics Machine Learning Governance Algorithmic Auditing Policy Development Risk Assessment Stakeholder Engagement Regulatory Compliance Bias Mitigation

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