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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

EthicaTech Solutions
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join EthicaTech Solutions at the forefront of responsible AI innovation. We're seeking visionary AI Ethics Strategists to shape the ethical frameworks for transformative technologies in 2026 and beyond. As a pioneer in ethical AI deployment, you'll collaborate with cross-functional teams to ensure our AI systems align with human values while driving business innovation.

Our San Francisco headquarters offers a dynamic environment where your expertise will directly impact how AI is developed and deployed across industries. You'll work with cutting-edge technologies while championing ethical principles that define the future of artificial intelligence.

Responsibilities

  • Develop comprehensive AI ethics frameworks aligned with emerging 2026 regulatory landscapes
  • Conduct bias audits and risk assessments for autonomous systems and generative AI
  • Lead stakeholder workshops to establish ethical guidelines for AI deployment strategies
  • Partner with engineering teams to implement ethical-by-design principles in AI development lifecycles
  • Monitor global AI policy developments and translate regulatory requirements into actionable protocols
  • Create transparency reports documenting AI decision-making processes and ethical compliance
  • Mentor junior team members on responsible AI practices and emerging ethical challenges

Qualifications

  • Advanced degree in Computer Science, Ethics, Philosophy, or related field with 5+ years AI ethics experience
  • Deep expertise in bias mitigation techniques for machine learning systems
  • Proven track record developing ethical AI frameworks for high-impact industries
  • Familiarity with emerging 2026 AI regulations (EU AI Act, US AI Bill of Rights)
  • Exceptional communication skills for translating complex ethical concepts to technical teams
  • Experience with responsible AI toolkits (IBM AI Fairness 360, Google What-If Tool)
  • Published work on AI ethics or participation in global ethics initiatives (IEEE, Partnership on AI)
  • Strong understanding of generative AI risks and mitigation strategies

Required Skills

AI Ethics Machine Learning Regulatory Compliance Bias Mitigation Ethical Framework Development Generative AI Risk Assessment Stakeholder Communication

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