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Information Technology 🏒 Full Time ⭐️ Verified

AI Ethics & Future Tech Strategist

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

At Nexus Horizon, we are not just building the future; we are defining it. As we accelerate towards a world of advanced autonomous systems, the need for responsible innovation has never been greater. We are seeking a visionary AI Ethics & Future Tech Strategist to join our elite team in San Francisco and help shape the moral landscape of the next decade.

In this pivotal role, you will act as the conscience of our engineering division. You will bridge the gap between cutting-edge technology and human values, ensuring our AI solutions are safe, transparent, and beneficial for all of humanity. If you are a thought leader passionate about the intersection of technology, philosophy, and strategy, this is your opportunity to lead the charge.

Responsibilities

  • Define Ethical Frameworks: Develop and implement comprehensive ethical guidelines and governance models for our next-generation AI systems and autonomous technologies.
  • Risk Assessment: Conduct rigorous risk assessments on emerging technologies to identify potential societal, legal, and ethical impacts before deployment.
  • Stakeholder Collaboration: Work closely with product managers, engineers, and legal teams to integrate ethical considerations into the software development lifecycle.
  • Thought Leadership: Publish white papers and speak at industry conferences to advance the global discourse on AI alignment and future tech safety.
  • Policy Advisory: Advise executive leadership on the long-term implications of our technological roadmap and regulatory compliance.

Qualifications

  • Education: Advanced degree (PhD or Master’s) in Philosophy, Computer Science, Ethics, Law, or a related field.
  • Experience: 5+ years of experience in AI ethics, technology policy, or a related strategic role within the tech industry.
  • Technical Fluency: Deep understanding of Machine Learning (ML), Natural Language Processing (NLP), and Large Language Models (LLMs).
  • Analytical Skills: Exceptional ability to analyze complex systems and anticipate unintended consequences of technological advancement.
  • Communication: Proven track record of translating complex philosophical concepts into actionable technical requirements for engineering teams.

Required Skills

AI Ethics Machine Learning Risk Assessment Strategic Planning Policy Development Stakeholder Management NLP LLMs

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