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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

NeuroLogic Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join NeuroLogic Systems at the forefront of ethical AI innovation. As an AI Ethics Strategist, you'll architect responsible frameworks for our next-generation autonomous systems and predictive analytics platforms. This pivotal role bridges cutting-edge technology with human-centric values, ensuring our AI solutions align with evolving societal expectations while maintaining competitive advantage.

You'll lead cross-functional initiatives to embed ethical safeguards throughout the AI lifecycle, from algorithm design to deployment. Our ideal candidate thrives at the intersection of technology, philosophy, and policy, shaping how humanity interacts with artificial intelligence in 2026 and beyond.

Responsibilities

  • Design and implement ethical governance frameworks for AI decision systems
  • Conduct bias audits and impact assessments on machine learning models
  • Develop stakeholder engagement protocols for AI transparency initiatives
  • Establish compliance protocols for evolving AI regulatory landscapes
  • Lead cross-functional ethics working groups across engineering and product teams
  • Author industry thought leadership on responsible AI deployment strategies

Qualifications

  • Advanced degree in Ethics, Philosophy, Computer Science, or related field
  • 5+ years experience in AI ethics, compliance, or responsible technology
  • Deep expertise in bias detection/mitigation techniques for ML systems
  • Strong understanding of global AI regulations (EU AI Act, NIST frameworks)
  • Proven ability to translate technical concepts to non-technical stakeholders
  • Certification in AI ethics or algorithmic auditing preferred
  • Experience with federated learning and differential privacy protocols

Required Skills

AI Ethics Machine Learning Governance Compliance Bias Mitigation Regulatory Strategy Stakeholder Engagement Algorithmic Auditing

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