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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist (2026 Vision)

FutureGuard Solutions
Austin
Estimated Salary
USD 145.000 – USD 195.000
New
Live Update
5 Juni 2026
Deadline
5 Jun 2027

Job Description

Join FutureGuard Solutions at the forefront of ethical AI development as we pioneer responsible AI frameworks for 2026. As an AI Ethics & Governance Specialist, you'll architect transparent, auditable systems that align with emerging global regulations while driving innovation. Our Austin-based team works with Fortune 500 clients to build AI safeguards that protect privacy, ensure fairness, and maintain human oversight in autonomous systems. This role offers hybrid work arrangements, cutting-edge training in AI ethics, and the opportunity to shape industry standards.

Responsibilities

  • Design and implement AI ethics governance frameworks aligned with 2026 regulatory predictions
  • Conduct bias audits and fairness assessments across machine learning pipelines
  • Develop auditable documentation for high-stakes AI decision systems
  • Lead stakeholder workshops on responsible AI adoption with C-suite executives
  • Monitor emerging AI legislation and update compliance protocols quarterly
  • Collaborate with engineering teams to embed privacy-by-design principles
  • Author thought leadership on AI ethics for industry publications

Qualifications

  • Master's degree in Computer Science, Ethics, Law, or related field (PhD preferred)
  • 3+ years in AI governance, compliance, or responsible AI implementation
  • Deep expertise in EU AI Act, NIST AI RMF, and emerging global regulations
  • Proficiency in fairness assessment tools (IBM AIF360, Google What-If Tool)
  • Experience with AI ethics frameworks (ACM, IEEE, OECD principles)
  • Strong background in privacy regulations (GDPR, CCPA, HIPAA)
  • Exceptional communication skills for technical and non-technical audiences

Required Skills

AI Ethics Governance Compliance Machine Learning Auditing Regulatory Strategy Privacy Engineering Stakeholder Communication Fairness Assessment

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