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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

NexusAI Solutions
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join NexusAI Solutions at the forefront of ethical AI development. As an AI Ethics Strategist, you'll shape the future of responsible artificial intelligence by designing governance frameworks for our 2026 product roadmap. We're seeking visionary professionals who can translate complex ethical principles into actionable policies while collaborating with cross-functional teams in machine learning, product development, and legal compliance. This role offers unparalleled opportunity to influence how next-generation AI systems impact society, with competitive benefits including equity, wellness stipends, and flexible remote work options.

Responsibilities

  • Develop comprehensive AI ethics frameworks aligned with 2026 regulatory landscapes
  • Conduct algorithmic bias audits and mitigation strategies for emerging AI models
  • Partner with ML teams to embed ethical safeguards into development lifecycles
  • Lead stakeholder workshops on responsible AI adoption across departments
  • Monitor global AI governance trends and update corporate policies accordingly
  • Prepare transparency reports for AI decision-making systems
  • Advocate for inclusive design practices in AI product development

Qualifications

  • Master's degree in Ethics, Philosophy, Computer Science, or related field
  • 5+ years experience in AI governance, compliance, or tech ethics
  • Proficiency in ethical AI frameworks (e.g., EU AI Act, NIST RMF)
  • Strong background in machine learning systems and data pipelines
  • Exceptional communication skills for technical/non-technical audiences
  • Experience with cross-functional collaboration in tech environments
  • Published work on AI ethics or relevant conference participation
  • Certification in data ethics or responsible AI preferred

Required Skills

AI Ethics Machine Learning Governance Frameworks Algorithmic Bias Regulatory Compliance Stakeholder Communication Ethical AI Design Risk Assessment

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