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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

FutureWorks Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Shape the ethical frontier of artificial intelligence at FutureWorks Labs. As our inaugural AI Ethics & Governance Lead, you'll architect responsible AI frameworks for 2026 and beyond. Join a visionary team redefining how humanity interacts with emerging technologies while ensuring alignment with societal values and regulatory landscapes.

We're seeking a trailblazer who thrives at the intersection of technology, policy, and philosophy. Your work will directly influence product development, corporate strategy, and industry standards. If you're passionate about building AI systems that augment human potential while safeguarding ethical boundaries, this is your defining moment.

Responsibilities

  • Develop comprehensive AI ethics governance frameworks for 2026 product roadmap
  • Lead cross-functional audits of algorithmic fairness, transparency, and accountability
  • Collaborate with policy teams on regulatory compliance for emerging AI regulations
  • Design and implement stakeholder engagement protocols for AI impact assessments
  • Establish continuous monitoring systems for model drift and ethical compliance
  • Drive industry thought leadership through white papers and ethical standards development

Qualifications

  • Advanced degree in Computer Science, Ethics, Law, or related field
  • 5+ years in AI governance, ethics compliance, or responsible tech leadership
  • Expertise in regulatory landscapes (EU AI Act, NIST AI RMF, etc.)
  • Proven track record of implementing ethical AI frameworks in production environments
  • Exceptional communication skills for translating complex ethical concepts
  • Experience with participatory design methodologies for AI governance
  • Published research or practical contributions to AI ethics discourse

Required Skills

AI Ethics Governance Frameworks Regulatory Compliance Algorithmic Auditing Stakeholder Engagement NIST AI RMF EU AI Act Participatory Design

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