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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

FutureSafe Technologies
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join FutureSafe Technologies at the forefront of responsible AI innovation. As we prepare for the transformative year 2026, we seek an AI Ethics & Governance Lead to shape the ethical frameworks guiding next-generation artificial intelligence. You'll be pivotal in developing industry-first standards for transparent, equitable, and accountable AI systems that prioritize human values in an increasingly automated world.

This senior role combines technical expertise with strategic vision, requiring you to collaborate with C-suite executives, research scientists, and policymakers. You'll influence product roadmaps, conduct ethical audits, and pioneer responsible AI practices that will define the next decade of technological advancement.

Responsibilities

  • Develop and implement comprehensive AI ethics governance frameworks for enterprise-wide AI systems
  • Conduct risk assessments and ethical audits of machine learning models and data pipelines
  • Lead cross-functional working groups to establish ethical AI standards and best practices
  • Create transparent documentation for AI decision-making processes (model cards, datasheets)
  • Advocate for ethical AI principles in product development and stakeholder communications
  • Monitor emerging regulatory landscapes (EU AI Act, US federal guidelines) and ensure compliance
  • Mentor junior teams on responsible AI development methodologies

Qualifications

  • Advanced degree in Computer Science, Ethics, Philosophy, Law, or related field (Ph.D. preferred)
  • 5+ years in AI governance, ethics, or compliance with focus on machine learning systems
  • Deep understanding of fairness, accountability, and transparency (FAT) principles in AI
  • Experience developing organizational policies for ethical technology deployment
  • Strong analytical skills for evaluating algorithmic bias and societal impact
  • Expertise in regulatory frameworks (GDPR, CCPA, NIST AI RMF)
  • Exceptional communication skills for technical and non-technical audiences

Required Skills

AI Ethics Governance Machine Learning Risk Assessment Regulatory Compliance Policy Development Algorithmic Fairness Stakeholder Communication

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