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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist

FutureTech Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

Join our pioneering team shaping the ethical future of artificial intelligence at FutureTech Innovations. We're seeking a visionary AI Ethics & Governance Specialist to design and implement robust frameworks ensuring responsible AI deployment across our global operations. This hybrid role blends technical expertise with philosophical insight, requiring you to audit algorithms, develop bias mitigation protocols, and collaborate with engineering teams to embed ethics into product lifecycles. You'll influence industry standards while working on cutting-edge projects that will define the next generation of AI.

Responsibilities

  • Design and implement AI ethics governance frameworks aligned with evolving regulatory landscapes
  • Conduct algorithmic audits and bias assessments across production models
  • Develop bias mitigation strategies and fairness metrics for ML systems
  • Partner with engineering teams to embed ethical considerations into MLOps pipelines
  • Create transparency reports and compliance documentation for regulatory bodies
  • Lead cross-functional workshops on responsible AI practices
  • Stay ahead of emerging AI ethics research and translate insights into actionable policies

Qualifications

  • Master's degree in Computer Science, Ethics, Philosophy, or related field (PhD preferred)
  • 5+ years in AI governance, ML engineering, or tech ethics roles
  • Deep understanding of EU AI Act, NIST AI Risk Framework, and global AI regulations
  • Proven experience developing bias detection tools or fairness metrics
  • Expertise in ethical AI frameworks (e.g., IEEE Ethically Aligned Design)
  • Strong communication skills for translating complex concepts to diverse stakeholders
  • Published research in AI ethics or relevant conference presentations

Required Skills

AI Ethics Machine Learning Governance Algorithmic Auditing Bias Mitigation Regulatory Compliance Ethical AI Frameworks MLOps Policy Development

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