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AI Ethics Strategist

InnovateAI Solutions
San Francisco
Estimated Salary
USD 140.000 – USD 180.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join InnovateAI Solutions at the forefront of responsible AI development. We're seeking visionary AI Ethics Strategists to shape the future of artificial intelligence governance and ensure ethical deployment by 2026. This hybrid role combines technical expertise with philosophical rigor to build frameworks that balance innovation with societal impact.

Our team pioneers ethical AI solutions for Fortune 500 clients across healthcare, finance, and autonomous systems. You'll collaborate with quantum computing researchers, neural network architects, and policy advisors to develop industry-first ethical guidelines.

Responsibilities

  • Design and implement AI ethics frameworks aligned with IEEE 7000 standards
  • Conduct bias audits for machine learning models using advanced fairness metrics
  • Develop stakeholder engagement protocols for transparent AI decision-making
  • Lead cross-functional working groups on AI governance and regulatory compliance
  • Create predictive risk assessments for emerging AI technologies
  • Author white papers on ethical AI adoption for industry conferences
  • Mentor junior data scientists on responsible AI development practices

Qualifications

  • Master's degree in Computer Science, Philosophy, Ethics, or related field (PhD preferred)
  • 5+ years in AI governance, algorithmic auditing, or responsible tech roles
  • Expertise in fairness, accountability, and transparency (FAT) frameworks
  • Proficiency with Python and bias detection libraries (AIF360, Fairlearn)
  • Deep understanding of global AI regulations (EU AI Act, NIST RMF)
  • Experience with stakeholder communication across technical and non-technical audiences
  • Published work in AI ethics or technology ethics journals
  • Certification in Responsible AI or Algorithmic Accountability (e.g., IBM AI Ethics)

Required Skills

AI Ethics Machine Learning Governance Algorithmic Auditing Bias Mitigation Regulatory Compliance Stakeholder Engagement Predictive Risk Assessment Python IEEE 7000

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