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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Innovations at the forefront of shaping responsible AI for 2026. We seek an AI Ethics Strategist to design frameworks that balance innovation with ethical imperatives. This role requires a visionary thinker who can translate complex ethical challenges into actionable policies for our autonomous systems and generative AI products. You will collaborate with cross-functional teams to ensure our AI deployments align with societal values, regulatory requirements, and human-centric design principles. If you're passionate about democratizing AI ethics while driving technological advancement, this is your opportunity to define the future.

Responsibilities

  • Develop and implement comprehensive AI ethics governance frameworks for emerging technologies
  • Conduct risk assessments for AI systems across bias mitigation, privacy, and accountability domains
  • Partner with engineering teams to embed ethical safeguards into product development lifecycles
  • Lead stakeholder workshops to align diverse perspectives on AI ethics principles
  • Monitor evolving regulatory landscapes (e.g., EU AI Act, state-level legislation) and adapt compliance strategies
  • Author thought leadership content on ethical AI trends and best practices
  • Manage cross-functional ethics task force with legal, data science, and product stakeholders

Qualifications

  • Master's degree in Ethics, Philosophy, Computer Science, or related field (PhD preferred)
  • 5+ years in AI ethics, responsible AI, or tech policy roles
  • Expertise in bias mitigation techniques for machine learning systems
  • Proven experience developing organizational ethics policies and compliance frameworks
  • Deep understanding of global AI regulations (GDPR, CCPA, etc.)
  • Exceptional communication skills with ability to articulate complex concepts to technical and non-technical audiences
  • Published work on AI ethics or demonstrated thought leadership in the field
  • Proficiency in ethics assessment tools (e.g., IBM AI Fairness 360, Google What-If Tool)

Required Skills

AI Ethics Machine Learning Governance Regulatory Compliance Risk Assessment Stakeholder Communication Bias Mitigation Policy Development Generative AI Ethics

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