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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Ethics & Strategy Lead (2026 Vision)

NeuralLink Solutions
Seattle
Estimated Salary
USD 140.000 – USD 190.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join NeuralLink Solutions as the Senior AI Ethics & Strategy Lead. We are pioneering the next generation of artificial intelligence, and we need a visionary leader to ensure our innovations remain responsible, transparent, and aligned with the regulatory landscape of 2026 and beyond.

In this role, you will act as the conscience of our engineering teams, translating complex ethical frameworks into actionable technical strategies. You will work directly with C-Suite executives to shape our long-term roadmap and build trust with our global user base.

Why join us?
We offer a competitive benefits package, equity opportunities, and the chance to define the future of technology.

Responsibilities

  • Architect Ethical Frameworks: Develop and implement comprehensive AI governance policies that guide our development lifecycle from ideation to deployment.
  • Roadmap Strategy: Collaborate with product and engineering leaders to integrate ethical considerations into the 2026 product roadmap.
  • Compliance & Regulation: Monitor global regulatory trends (such as the EU AI Act and upcoming US federal standards) and adapt our compliance strategies accordingly.
  • Stakeholder Communication: Translate complex technical risks into clear, compelling narratives for investors, regulators, and the public.
  • Algorithmic Auditing: Oversee regular audits of our machine learning models to detect and mitigate bias and ensure fairness.
  • Team Education: Conduct workshops and training sessions to foster an ethical-first culture across all engineering departments.

Qualifications

  • Education: Advanced degree (Master’s or PhD) in Computer Science, Law, Philosophy, or a related field.
  • Experience: 5+ years of experience in AI strategy, ethics compliance, or regulatory affairs within the tech industry.
  • Tech Proficiency: Deep understanding of machine learning models, NLP, and generative AI technologies.
  • Regulatory Knowledge: Familiarity with international data privacy laws and AI regulatory frameworks.
  • Leadership: Proven track record of leading cross-functional teams and influencing senior leadership.
  • Communication: Exceptional ability to communicate complex concepts to non-technical stakeholders.

Required Skills

AI Ethics Strategy Regulatory Compliance Machine Learning Data Privacy Policy Development Risk Management

Ready to Take This Challenge?

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