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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist

FutureTech Solutions
Austin
Estimated Salary
USD 120.000 – USD 180.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join FutureTech Solutions at the forefront of responsible AI development. We're seeking an AI Ethics & Governance Specialist to shape our 2026 roadmap for ethical AI implementation. As we integrate advanced AI systems across industries, you'll ensure our innovations align with societal values, regulatory requirements, and ethical standards.

In this pivotal role, you'll collaborate with cross-functional teams to develop robust governance frameworks, conduct bias audits, and create transparency protocols for AI decision-making processes. You'll help us build trust in AI technology while maintaining our competitive edge in the rapidly evolving tech landscape.

Responsibilities

  • Design and implement AI ethics governance frameworks aligned with emerging 2026 regulatory standards
  • Conduct bias audits and risk assessments for AI systems across all product lines
  • Develop transparency protocols for AI decision-making processes
  • Create educational materials and training programs for employees on ethical AI practices
  • Represent the company in industry forums on AI ethics and policy development
  • Monitor emerging ethical challenges in AI and adapt governance strategies accordingly

Qualifications

  • Master's degree in Ethics, Philosophy, Computer Science, or related field
  • 3+ years experience in AI ethics, compliance, or governance roles
  • Deep understanding of regulatory frameworks (EU AI Act, NIST AI RMF)
  • Expertise in bias detection and mitigation techniques for machine learning
  • Strong analytical skills with ability to translate complex concepts into actionable policies
  • Certification in AI ethics or responsible AI (e.g., IBM AI Ethics Certificate)
  • Experience working with cross-functional technical teams

Required Skills

AI Ethics Governance Risk Management Regulatory Compliance Bias Mitigation Machine Learning Policy Development Transparency Protocols

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