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Technology Strategy 🏢 Full Time ⭐️ Verified

AI Ethics Strategist 2026

Nexus Horizons
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Horizons at the forefront of ethical AI development as we shape responsible innovation for 2026 and beyond. We're seeking a visionary AI Ethics Strategist to lead our framework for deploying next-generation AI systems that prioritize human welfare, equity, and societal benefit.

This hybrid role combines deep technical ethics expertise with strategic foresight to guide our product development teams. You'll collaborate with engineers, policymakers, and industry leaders to build guardrails for autonomous systems, predictive analytics, and generative AI while maintaining competitive advantage.

Our ideal candidate thrives at the intersection of philosophy, technology, and business strategy, helping us navigate the complex ethical landscape of 2026's AI ecosystem.

Responsibilities

  • Develop and implement comprehensive ethical frameworks for next-gen AI systems deployed in 2026
  • Conduct proactive risk assessments for autonomous decision-making algorithms and predictive models
  • Lead cross-functional working groups to embed ethical principles in product development lifecycles
  • Author position papers and industry standards for transparent AI governance practices
  • Advocate for user-centric AI design through stakeholder workshops and public consultations
  • Monitor global regulatory landscapes and emerging ethical challenges in AI deployment
  • Design metrics for measuring algorithmic fairness and bias mitigation effectiveness

Qualifications

  • PhD or Master's degree in Ethics, Philosophy, Computer Science, or related field with AI specialization
  • 5+ years developing ethical frameworks for AI/ML systems or similar high-impact technologies
  • Expertise in ISO/IEC 42001, EU AI Act, and NIST AI Risk Management Framework
  • Proven track record influencing product strategy through ethical considerations
  • Deep understanding of bias mitigation techniques in large-scale AI systems
  • Experience with participatory design methodologies involving diverse stakeholder groups
  • Exceptional communication skills for translating complex ethical concepts to technical teams

Required Skills

AI Ethics Algorithmic Governance Risk Assessment Ethical AI Frameworks Regulatory Compliance Stakeholder Engagement Predictive Analytics Bias Mitigation

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