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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist

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

Job Description

Join FutureShield Technologies at the forefront of responsible AI innovation as we shape the ethical frameworks for 2026's autonomous systems. We're seeking a visionary AI Ethics & Governance Specialist to design safeguards for next-generation AI deployments across healthcare, finance, and critical infrastructure. This role offers unparalleled influence in defining how humanity coexists with artificial intelligence.

As a key member of our Ethics & Resilience Division, you'll collaborate with quantum computing researchers, neuroscientists, and policy experts to develop auditable AI governance protocols. Our state-of-the-art lab in San Francisco provides resources to pioneer ethical AI validation systems while enjoying competitive compensation and flexible work arrangements.

Responsibilities

  • Design and implement auditable AI ethics frameworks for autonomous systems
  • Conduct bias audits on machine learning models using adversarial testing
  • Develop compliance protocols for evolving AI regulations (EU AI Act, NIST frameworks)
  • Lead cross-functional workshops on responsible AI deployment
  • Author policy white papers for international tech summits
  • Monitor emerging AI ethics research and translate into corporate guidelines
  • Interface with regulatory bodies on AI governance standards

Qualifications

  • Advanced degree in Ethics, Philosophy, Computer Science, or related field
  • 3+ years in AI governance, compliance, or ethics oversight
  • Expertise in bias mitigation algorithms and fairness metrics
  • Deep understanding of global AI regulatory landscapes
  • Experience with adversarial ML testing and model explainability
  • Strong background in policy analysis and stakeholder communication
  • Certification in AI Ethics (e.g., IEEE, ACM) preferred

Required Skills

AI Ethics Governance Compliance Bias Mitigation Regulatory Policy Machine Learning Auditing Risk Assessment Stakeholder Communication Explainable AI

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