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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist

FutureGuard Solutions
Austin
Estimated Salary
USD 130.000 – USD 180.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join FutureGuard Solutions at the forefront of responsible AI innovation. As the AI Ethics & Governance Specialist, you'll shape the ethical frameworks for next-generation autonomous systems while ensuring compliance with emerging global regulations. This hybrid role combines technical expertise with strategic policy development to build trust in AI technologies that will redefine industries by 2026.

We're seeking a visionary leader to establish our AI governance blueprint, collaborate with engineering teams on bias mitigation protocols, and pioneer transparent algorithmic auditing processes. Your work will directly influence how enterprises deploy AI responsibly in critical sectors like healthcare, finance, and autonomous transportation.

Responsibilities

  • Develop comprehensive AI ethics frameworks aligned with IEEE 7000 and EU AI Act standards
  • Lead algorithmic bias audits for machine learning models using fairness metrics tools
  • Design corporate AI governance policies with cross-functional stakeholders
  • Conduct risk assessments for autonomous systems deployment in regulated industries
  • Create transparency documentation for high-stakes AI decision-making processes
  • Advocate for ethical AI adoption at industry conferences and regulatory hearings
  • Mentor junior engineers on responsible AI development practices

Qualifications

  • Master's degree in Computer Science, Ethics, Policy, or related field (PhD preferred)
  • 5+ years in AI governance, compliance, or ethical technology development
  • Expertise in fairness, accountability, and transparency (FAT) frameworks
  • Experience with regulatory landscapes (GDPR, EU AI Act, state-level AI laws)
  • Proficiency in Python for bias detection tools and explainable AI libraries
  • Certification in AI ethics or technology governance (e.g., IEEE Certifications)
  • Strong background in risk management for autonomous systems
  • Demonstrated ability to translate technical concepts for non-technical stakeholders

Required Skills

AI Ethics Machine Learning Governance Algorithmic Bias Mitigation Regulatory Compliance Explainable AI Risk Assessment Policy Development Python

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