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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

FutureTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join our pioneering team at FutureTech Innovations to shape the ethical future of artificial intelligence. We're seeking visionary AI Ethics Strategists to lead responsible innovation initiatives that align with 2026's technological landscape. This role offers unparalleled opportunity to influence global AI governance frameworks while working with Fortune 500 clients on cutting-edge deployments.

As a key member of our Future Horizons division, you'll develop robust ethical frameworks for autonomous systems, bias mitigation protocols, and transparency standards. We offer competitive compensation, flexible work arrangements, and opportunities to publish industry-defining research.

Responsibilities

  • Design and implement ethical governance frameworks for next-gen AI systems
  • Lead cross-functional bias audits and algorithmic fairness assessments
  • Develop 2026-compliant transparency protocols for AI decision-making
  • Advocate for responsible AI adoption at industry conferences and policy forums
  • Collaborate with engineering teams to embed ethical safeguards into production systems
  • Author whitepapers on emerging AI ethics challenges and solutions
  • Train stakeholders on ethical AI deployment best practices

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field
  • 5+ years experience in AI ethics governance or responsible AI
  • Expertise in developing bias mitigation techniques for ML systems
  • Deep understanding of EU AI Act, NIST AI RMF, and emerging regulations
  • Published research in top-tier AI ethics journals or conferences
  • Experience advising C-suite executives on AI risk management
  • Proficiency in Python for algorithmic bias analysis
  • Strong track record of influencing technical teams on ethical design

Required Skills

AI Ethics Machine Learning Governance Algorithmic Bias NIST AI RMF EU AI Act Ethical AI Design Risk Management AI Policy

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