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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist

FutureGuard Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Shape the ethical frontier of artificial intelligence at FutureGuard Technologies. We're seeking visionary AI Ethics & Governance Specialists to design responsible frameworks for 2026's autonomous systems. Join our interdisciplinary team where cutting-edge innovation meets ethical rigor, ensuring AI advancements serve humanity's best interests while driving industry transformation.

Responsibilities

  • Develop comprehensive AI governance frameworks aligned with evolving regulatory landscapes
  • Conduct bias audits and risk assessments for autonomous systems and generative AI
  • Design ethical guidelines for human-AI interaction in high-stakes environments
  • Collaborate with engineering teams to embed ethical safeguards in AI development pipelines
  • Lead stakeholder workshops to align organizational values with AI deployment strategies
  • Monitor global AI policy developments and translate insights into actionable governance protocols
  • Advocate for transparent AI practices through industry publications and conferences

Qualifications

  • Master's degree in Ethics, Philosophy, Computer Science, or related field with 5+ years of AI governance experience
  • Deep understanding of EU AI Act, NIST AI Risk Framework, and emerging global regulations
  • Proven track record in implementing ethical AI policies across enterprise environments
  • Expertise in bias mitigation techniques for machine learning systems
  • Strong background in participatory design methodologies for stakeholder engagement
  • Certification in AI ethics or governance (e.g., IEEE, ACM, or equivalent)
  • Exceptional communication skills for translating complex concepts to diverse audiences

Required Skills

AI Ethics Governance Regulatory Compliance Risk Assessment Bias Mitigation Stakeholder Engagement Policy Development Machine Learning Audits

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