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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist

FutureVision Analytics
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join FutureVision Analytics at the forefront of responsible AI innovation. As we approach 2026, we seek an AI Ethics & Governance Specialist to architect frameworks ensuring ethical AI deployment across our autonomous systems. This pivotal role bridges cutting-edge technology with human-centric values, shaping how AI impacts society.

You'll collaborate with AI researchers, product engineers, and policy teams to develop scalable governance solutions. Your expertise will directly influence our roadmap for transparent, auditable, and bias-mitigated AI systems that earn societal trust while driving business innovation.

Responsibilities

  • Design and implement AI ethics governance frameworks aligned with 2026 regulatory landscapes
  • Conduct algorithmic bias audits and mitigation strategies for autonomous systems
  • Develop transparency protocols for explainable AI (XAI) implementations
  • Partner with legal teams to ensure compliance with evolving AI regulations
  • Create training programs for cross-functional teams on ethical AI deployment
  • Lead stakeholder engagement on AI ethics initiatives with industry consortiums
  • Proactively identify emerging ethical challenges in generative AI and predictive analytics

Qualifications

  • Master's degree in Computer Science, Ethics, Public Policy, or related field
  • 5+ years in AI governance, responsible AI, or tech ethics roles
  • Expertise in bias detection/mitigation techniques for machine learning models
  • Familiarity with EU AI Act, NIST AI RMF, and global AI governance frameworks
  • Strong background in ethical design principles for autonomous systems
  • Experience developing AI ethics policies for Fortune 500 companies
  • Proven ability to translate complex ethical concepts into actionable technical guidelines

Required Skills

AI Ethics Algorithmic Auditing Explainable AI Regulatory Compliance Autonomous Systems Bias Mitigation Governance Frameworks Machine Learning

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